{"meta":{"query_hash":"159392ed0402","filters":{"venue":"AHFE international"},"cohort_total":45,"direct_labels_cover":0,"predictions_cover":45,"exported":45,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/159392ed0402","api":"https://metacan.xera.ac/api/v1/cohort?venue=AHFE+international"},"results":[{"id":"W4226223744","doi":"10.54941/ahfe100865","title":"Human-Centred Principles for the Design of Shape-Changing Tangible User Interfaces","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affordance; Object (grammar); Materiality (auditing); Human–computer interaction; Computer science; Action (physics); Perception; Function (biology); Cognitive science; Artificial intelligence; Psychology; Aesthetics","score_opus":0.1808117287978232,"score_gpt":0.3387376915074711,"score_spread":0.15792596270964787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226223744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93970907,0.000050203136,0.03649277,0.0056701344,0.0055055837,0.0012901025,0.0004812869,0.00015840294,0.01064248],"genre_scores_gemma":[0.9888778,0.00000675962,0.00023271954,0.00045211078,0.00010020731,0.00014365514,0.0000056813665,0.000012875314,0.01016823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991083,0.00006110753,0.00020884135,0.00018882593,0.00028130686,0.00015157767],"domain_scores_gemma":[0.99886584,0.00077498116,0.00014608617,0.0001412121,0.00005441847,0.000017463106],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000082443206,0.00007560298,0.000073802876,0.00015859862,0.00040779257,0.000045231922,0.0004952821,0.0000133503245,0.0023634427],"category_scores_gemma":[0.0002701226,0.000061177525,0.000077390774,0.0001304533,0.000043115444,0.00015261701,0.00018601325,0.00011932533,0.000015647864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015571479,0.00026112905,0.0003241499,0.000007205879,0.0000849793,0.0000071446552,0.0028024598,0.05003981,0.8893679,0.04888545,0.0066888374,0.0013752449],"study_design_scores_gemma":[0.0005136089,0.00013535659,0.00017961235,0.000013953307,0.00002236773,0.0000490199,0.0028336134,0.121114135,0.60157186,0.0005011462,0.2729216,0.00014371813],"about_ca_topic_score_codex":0.000019128636,"about_ca_topic_score_gemma":0.0000050254116,"teacher_disagreement_score":0.287796,"about_ca_system_score_codex":0.00006503343,"about_ca_system_score_gemma":0.000022982009,"threshold_uncertainty_score":0.9985485},"labels":[],"label_agreement":null},{"id":"W4285154277","doi":"10.54941/ahfe1002520","title":"Development of A Smart Database for Construction Inventory Management Using Deep Learning to Eliminate Supply Chain Bottlenecks Post COVID-19","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Portfolio; Diversification (marketing strategy); Analytics; Big data; Computer science; Business; Postponement; Phase (matter); Industrial organization; Finance; Data science; Marketing","score_opus":0.02572621894046505,"score_gpt":0.278386614236666,"score_spread":0.25266039529620093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285154277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8868721,0.00006326306,0.1020446,0.0032611208,0.0025778469,0.0016366275,0.000057776735,0.00014149584,0.0033451705],"genre_scores_gemma":[0.9583167,0.000012183758,0.03341932,0.0054532443,0.00039694516,0.0005369959,0.00082316966,0.000043216885,0.0009982691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821866,0.000019448826,0.00044484407,0.00039922152,0.0006383826,0.00027947433],"domain_scores_gemma":[0.9992913,0.000041473933,0.0002977698,0.00017229863,0.00015920712,0.00003795228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000797686,0.0001704893,0.00015721328,0.00080756925,0.00057190994,0.00009577303,0.00049069227,0.000022940822,0.0010486274],"category_scores_gemma":[0.00013134064,0.00018859975,0.00007454973,0.00034174227,0.000045982164,0.00039086974,0.0009591857,0.00011367953,0.000028948833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031407005,0.001599275,0.107236564,0.0028677215,0.0015816453,0.00023316144,0.007879957,0.24569188,0.017346736,0.23369792,0.018306004,0.36041844],"study_design_scores_gemma":[0.0013920201,0.000047608322,0.0018805185,0.00005653229,0.000075643584,0.0000094468505,0.017460946,0.052900184,0.000388001,0.00059109094,0.9248083,0.0003897036],"about_ca_topic_score_codex":0.00031809675,"about_ca_topic_score_gemma":0.00015189203,"teacher_disagreement_score":0.9065023,"about_ca_system_score_codex":0.0003897511,"about_ca_system_score_gemma":0.000067429966,"threshold_uncertainty_score":0.9998646},"labels":[],"label_agreement":null},{"id":"W4285165661","doi":"10.54941/ahfe1002107","title":"Medical Error Disclosure: A Quality Perspective and Ethical Dilemma in Healthcare Delivery","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dilemma; Health care; Autonomy; Patient safety; Quality (philosophy); Full disclosure; Perspective (graphical); Public relations; Psychology; Medicine; Business; Political science; Law; Computer security","score_opus":0.11060804658965635,"score_gpt":0.5305854390178678,"score_spread":0.41997739242821147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285165661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5498713,0.00010416977,0.000019524527,0.44646,0.0007790185,0.00021139163,0.000056967518,0.000028401439,0.0024691618],"genre_scores_gemma":[0.9745428,0.0000553852,0.00009877538,0.024078626,0.00042024587,0.00024998435,0.000046579713,0.000010419173,0.00049720437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99506676,0.0023106344,0.00060289894,0.000369407,0.0013463879,0.00030388276],"domain_scores_gemma":[0.9960207,0.003149574,0.0001591055,0.00017307243,0.00023864969,0.00025890666],"candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003936986,0.000104451115,0.00023096039,0.000104296916,0.00039010603,0.000008720215,0.0003052987,0.0002564757,0.012284164],"category_scores_gemma":[0.009106613,0.00009492516,0.000048968588,0.00014805087,0.0001526739,0.00009112353,0.00057455973,0.003572347,0.00006449937],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041211015,0.0002500649,0.47084966,0.0000845767,0.000040500618,0.00008709487,0.011813942,0.0000027432552,0.00000999764,0.5056406,0.009518866,0.0012898458],"study_design_scores_gemma":[0.0025555163,0.0002263214,0.62130237,0.000159674,0.000012536852,0.000027501428,0.05615859,0.0011682746,0.000001476098,0.0347407,0.28336507,0.00028196166],"about_ca_topic_score_codex":0.017089706,"about_ca_topic_score_gemma":0.004283065,"teacher_disagreement_score":0.4708999,"about_ca_system_score_codex":0.0005695979,"about_ca_system_score_gemma":0.0006758264,"threshold_uncertainty_score":0.9992401},"labels":[],"label_agreement":null},{"id":"W4285182822","doi":"10.54941/ahfe1001482","title":"Opportunities for Wearable Technology to Increase the Safety of Rail Sector Workers","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Data collection; Emerging technologies; Transport engineering; Wearable technology; Occupational safety and health; Risk analysis (engineering); Business; Engineering; Computer science","score_opus":0.15522821252391977,"score_gpt":0.4744152322176218,"score_spread":0.319187019693702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285182822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5193134,0.0003473254,0.0027135722,0.34763572,0.0044676377,0.0048281606,0.0028362619,0.00013955866,0.1177184],"genre_scores_gemma":[0.9618273,0.00004705582,0.00074838003,0.0036231207,0.00030480773,0.0025916095,0.000119626246,0.000018350127,0.03071979],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984027,0.00023521525,0.0004231713,0.00015467696,0.00047268448,0.00031150947],"domain_scores_gemma":[0.9975676,0.001588351,0.00013675806,0.00019804234,0.0004094911,0.00009978207],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013733195,0.00006984339,0.00012844756,0.00025707213,0.0009830662,0.0000034804089,0.0005052308,0.00005463316,0.0048675505],"category_scores_gemma":[0.0007318115,0.000056213725,0.00005368243,0.0002597841,0.00006709177,0.000049187052,0.00036318586,0.00041483095,0.00004793522],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010518041,0.0003492697,0.3659385,0.00028315015,0.00026413123,0.0000124335165,0.002533797,0.00125016,0.00033838276,0.19629732,0.33139423,0.09082057],"study_design_scores_gemma":[0.0010007782,0.00021752193,0.035430033,0.00006573496,0.000005340669,0.0000034489576,0.0093161445,0.0007897539,0.00002037759,0.0033847126,0.9496825,0.00008366521],"about_ca_topic_score_codex":0.0005816568,"about_ca_topic_score_gemma":0.0001347744,"teacher_disagreement_score":0.6182883,"about_ca_system_score_codex":0.00028057912,"about_ca_system_score_gemma":0.0010115884,"threshold_uncertainty_score":0.99604213},"labels":[],"label_agreement":null},{"id":"W4285208651","doi":"10.54941/ahfe1001634","title":"Process Safety in electrolytic green hydrogen production","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Global Energy Security and Policy","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrolytic process; Electrolysis; Hydrogen production; Polymer electrolyte membrane electrolysis; Environmental science; Waste management; Hydrogen; Production (economics); Electrolysis of water; Process (computing); Process engineering; Engineering; Electrolyte; Chemistry; Computer science","score_opus":0.00777994039804788,"score_gpt":0.25324123310720614,"score_spread":0.24546129270915826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285208651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8209038,0.000062381274,0.000002518992,0.008470761,0.0006506484,0.00008621954,0.000022000224,0.00007370103,0.169728],"genre_scores_gemma":[0.9941365,0.000008722124,0.000007976151,0.0007518047,0.00036958043,0.00006936114,0.0001261397,0.000011546551,0.004518347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990039,0.00005717835,0.00019259595,0.00021570032,0.00034615197,0.00018450357],"domain_scores_gemma":[0.9997431,0.000014266496,0.00005642285,0.00011290484,0.000042051477,0.000031251304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016482372,0.00008326672,0.00008038285,0.0001436067,0.00009103526,0.000008226595,0.0003071811,0.000027859396,0.0013143211],"category_scores_gemma":[0.000056444394,0.000095301155,0.0000417301,0.00027159677,0.000019635714,0.0001358559,0.00008153984,0.0001950899,0.000061007682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026814872,0.00026275605,0.0016518302,0.000008525392,0.00008105907,0.000028462353,0.001198195,0.19785993,0.0017003856,0.7878682,0.00076857844,0.008303941],"study_design_scores_gemma":[0.00064188085,0.00006766621,0.0026422415,0.000007330923,0.000006911857,0.00012287626,0.0001365882,0.0033102315,0.004108123,0.041031018,0.9477107,0.00021441819],"about_ca_topic_score_codex":0.0066780685,"about_ca_topic_score_gemma":0.003535789,"teacher_disagreement_score":0.94694215,"about_ca_system_score_codex":0.0002817683,"about_ca_system_score_gemma":0.00006765354,"threshold_uncertainty_score":0.9999365},"labels":[],"label_agreement":null},{"id":"W4285247384","doi":"10.54941/ahfe1002195","title":"A Metric to Assist in Detecting International Phishing or Ransomware Cyberattacks","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phishing; Ransomware; Malware; Computer security; The Internet; Government (linguistics); Computer science; Botnet; Levenshtein distance; Internet privacy; Business; World Wide Web; Artificial intelligence","score_opus":0.023424038490038927,"score_gpt":0.2909868762680797,"score_spread":0.26756283777804074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285247384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39826718,0.00007477667,0.5460075,0.017872335,0.019367982,0.00045644105,0.00005189337,0.0004947353,0.017407153],"genre_scores_gemma":[0.98785293,0.0000022503884,0.009129401,0.0015217757,0.00033292704,0.00012466444,0.000013451354,0.000013479996,0.0010091076],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980342,0.00010029187,0.00033115246,0.00046638167,0.00084162835,0.0002263485],"domain_scores_gemma":[0.9992108,0.0002470908,0.00011092334,0.00024283714,0.00011340834,0.00007494837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007156142,0.00012883554,0.0001212184,0.0009664162,0.00023633268,0.00040398323,0.001745524,0.000035670855,0.0007428171],"category_scores_gemma":[0.0005502121,0.0001350682,0.000073230614,0.0012837055,0.000009619121,0.00073887565,0.0007839971,0.0003867456,0.000052275147],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076422974,0.00080441707,0.07906733,0.000019228293,0.00031116678,0.0007680818,0.012012987,0.06598262,0.0060153105,0.020546786,0.012492154,0.8012157],"study_design_scores_gemma":[0.0036942076,0.0006053942,0.10940282,0.00012980982,0.000016277647,0.0007251369,0.0011851355,0.38663924,0.0057364246,0.005428921,0.48502994,0.0014067206],"about_ca_topic_score_codex":0.00037468044,"about_ca_topic_score_gemma":0.0003408371,"teacher_disagreement_score":0.799809,"about_ca_system_score_codex":0.00065983256,"about_ca_system_score_gemma":0.00008375886,"threshold_uncertainty_score":0.8133326},"labels":[],"label_agreement":null},{"id":"W4285254684","doi":"10.54941/ahfe1002501","title":"Challenges of simulation training for future engineering seafarers - A qualitative case study","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Arctic Eider Society","funders":"","keywords":"Cloud computing; Training (meteorology); Competence (human resources); Engineering; Context (archaeology); Automation; Simulation training; Computer science; Systems engineering; Engineering management; Simulation; Mechanical engineering","score_opus":0.14051854211504192,"score_gpt":0.4191788797337972,"score_spread":0.2786603376187553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285254684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.910591,0.0001909388,0.08170995,0.0044272686,0.0021675753,0.00038516088,0.000049368253,0.000048871283,0.00042987723],"genre_scores_gemma":[0.9969244,0.0000010234911,0.002517218,0.000039439536,0.00028830022,0.00015154379,0.0000061711735,0.0000049720975,0.0000669128],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99929327,0.00005902415,0.00017668636,0.00014165317,0.00025281255,0.00007656819],"domain_scores_gemma":[0.9992318,0.00043322222,0.00009590449,0.000105547224,0.00011211069,0.000021390411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044504285,0.000057205634,0.00008008593,0.00011113265,0.00008876728,0.000020435913,0.0002697495,0.000010778329,0.000013667472],"category_scores_gemma":[0.000051107618,0.000060171074,0.000042807293,0.00008705871,0.0000054934453,0.00015703747,0.00007803862,0.000053782736,4.5541063e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005123455,0.0001249034,0.00012867371,0.000010123438,0.000091738075,0.00001478423,0.6143635,0.12610486,0.000028488721,0.25374967,0.00008465167,0.0052934894],"study_design_scores_gemma":[0.0007177513,0.0003813442,0.0040377164,0.000011517864,0.0000086420705,0.00028133354,0.703967,0.26918837,0.000015814538,0.0014795512,0.019703832,0.00020713599],"about_ca_topic_score_codex":0.000110080626,"about_ca_topic_score_gemma":0.00003383382,"teacher_disagreement_score":0.25227013,"about_ca_system_score_codex":0.000060175436,"about_ca_system_score_gemma":0.000053382002,"threshold_uncertainty_score":0.24537052},"labels":[],"label_agreement":null},{"id":"W4285260176","doi":"10.54941/ahfe1002411","title":"Understanding dropout in distance and online learning by taking into account multiple factors","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Université TÉLUQ","funders":"","keywords":"Psychology; Drop out; Distance education; Marital status; Dropout (neural networks); Mathematics education; Higher education; Medical education; Social psychology; Computer science; Sociology; Demography; Medicine; Political science","score_opus":0.044861863411227436,"score_gpt":0.29605756814779866,"score_spread":0.2511957047365712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285260176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7203884,0.00008557494,0.27483657,0.0038947419,0.00039561867,0.000038278944,0.000015713686,0.00007989572,0.00026520554],"genre_scores_gemma":[0.9970373,0.000013449285,0.0022562642,0.00012850648,0.000041807343,0.000002855266,0.00006510615,0.000008080066,0.00044661816],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990279,0.000052222804,0.00016988195,0.00026129276,0.0003450161,0.00014369671],"domain_scores_gemma":[0.9995577,0.00016754684,0.00012692013,0.00009144546,0.000021933833,0.000034509427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018964954,0.000087358894,0.00008939725,0.00013942619,0.00021533159,0.00012972964,0.00044088694,0.000019007153,0.00004125033],"category_scores_gemma":[0.00017032794,0.00009228033,0.000026608064,0.00019303386,0.000027351974,0.00025481678,0.00039348044,0.00038173323,0.0000015171507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080166365,0.00011857131,0.9469008,0.000005664535,0.00002534248,0.000020667256,0.0031495735,0.022871727,0.0007057768,0.02276611,0.00032455559,0.0031032017],"study_design_scores_gemma":[0.00039110723,0.000040427927,0.011861513,0.000020336664,0.0000018101924,0.000006539959,0.0021526471,0.96531075,0.00003145704,0.0035452456,0.016478606,0.00015954634],"about_ca_topic_score_codex":0.00022414309,"about_ca_topic_score_gemma":0.00013414667,"teacher_disagreement_score":0.942439,"about_ca_system_score_codex":0.00036460583,"about_ca_system_score_gemma":0.000025813799,"threshold_uncertainty_score":0.37630826},"labels":[],"label_agreement":null},{"id":"W4285260866","doi":"10.54941/ahfe1001655","title":"Empowering Individuals with Limited Joint Mobility: An Embedded Interdisciplinary Program between Occupational Therapy &amp; Industrial Design","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Heterotopic Ossification and Related Conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Occupational therapy; Coursework; Medical education; Psychology; Medicine; Physical therapy","score_opus":0.2175642734175525,"score_gpt":0.42610352969407544,"score_spread":0.20853925627652295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285260866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875124,0.000015063691,0.0050458726,0.0035131131,0.00045138187,0.001573883,0.0001609967,0.00025804492,0.0014692626],"genre_scores_gemma":[0.9889661,0.0000036547158,0.005575724,0.00038949918,0.00045217265,0.0010583376,0.002639079,0.000028036698,0.00088741473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808276,0.00018348402,0.0004405264,0.00038294442,0.00070883584,0.00020143128],"domain_scores_gemma":[0.9990734,0.00009485033,0.00017202222,0.00032377982,0.00017181446,0.00016416218],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004270199,0.0001710311,0.00021556401,0.00032452386,0.00032392226,0.00007431344,0.00023938484,0.000106152496,0.0031688358],"category_scores_gemma":[0.000050841587,0.0001443633,0.00009656341,0.00027482645,0.000102038444,0.00019399912,0.00017203114,0.00059053366,0.000033652595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038580045,0.010251162,0.70288897,0.00002853154,0.00431795,0.000145494,0.014267259,0.0026718383,0.0076732864,0.0017424353,0.014229013,0.23792608],"study_design_scores_gemma":[0.01623376,0.0062449425,0.7765137,0.00018530086,0.00023435985,0.0005606194,0.0028224352,0.0036206697,0.002719893,0.0017096023,0.188199,0.0009557122],"about_ca_topic_score_codex":0.000011030551,"about_ca_topic_score_gemma":0.0000021026005,"teacher_disagreement_score":0.23697037,"about_ca_system_score_codex":0.0002163131,"about_ca_system_score_gemma":0.00030100066,"threshold_uncertainty_score":0.9977424},"labels":[],"label_agreement":null},{"id":"W4285299902","doi":"10.54941/ahfe1002458","title":"Global Changes to Driver Behavior Amid COVID-19","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Distracted driving; Coronavirus disease 2019 (COVID-19); Computer security; Social distance; Travel behavior; Poison control; Transport engineering; Pandemic; Computer science; Business; Engineering; Psychology; Environmental health; Medicine","score_opus":0.015784803543912283,"score_gpt":0.27239603928905254,"score_spread":0.2566112357451403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285299902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9438987,0.00012459331,0.011647891,0.010311594,0.0072402973,0.00033715664,0.0011343419,0.00095286826,0.024352571],"genre_scores_gemma":[0.996514,0.0000067223828,0.00032017686,0.0018462663,0.00018176615,0.000110131194,0.00007161095,0.000010353681,0.0009389714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994218,0.000008923384,0.00008092878,0.00011679736,0.00025272218,0.00011883852],"domain_scores_gemma":[0.99977183,0.000013401791,0.000010335032,0.00008216495,0.000015510075,0.000106732725],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000050376675,0.0000705608,0.00005488543,0.00005182193,0.000076889664,0.000013400219,0.00024798507,0.000018892304,0.0026179939],"category_scores_gemma":[0.0000124097,0.00007813348,0.000032427608,0.000100451936,0.000010896218,0.00003263021,0.000120718265,0.00006963833,0.0001082318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055698463,0.00016708225,0.060978368,0.000014240566,0.00015723372,0.00019337249,0.0014502832,0.5238385,0.00045735066,0.01815746,0.36063626,0.033894125],"study_design_scores_gemma":[0.00029551933,0.000030430278,0.08145908,0.0000015550409,0.000008556467,0.000047864847,0.00015482125,0.0031009426,0.00002673415,0.00006628878,0.91466606,0.0001421287],"about_ca_topic_score_codex":0.00005533217,"about_ca_topic_score_gemma":0.00017607705,"teacher_disagreement_score":0.5540298,"about_ca_system_score_codex":0.00047531334,"about_ca_system_score_gemma":0.000023708784,"threshold_uncertainty_score":0.99829376},"labels":[],"label_agreement":null},{"id":"W4285301051","doi":"10.54941/ahfe1001643","title":"Users’ Satisfaction with an Assistive Device and Quality of Life: A preliminary study on lower limb prosthetics","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Quality of life (healthcare); Psychology; Perception; Applied psychology; Life satisfaction; Quality (philosophy); Affect (linguistics); Assistive technology; Gerontology; Medicine; Computer science; Social psychology; Human–computer interaction; Communication","score_opus":0.13648513818586816,"score_gpt":0.4624597357808164,"score_spread":0.32597459759494823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285301051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485457,0.00001389634,0.00020999245,0.0016904954,0.0002441706,0.0007717358,0.000091259564,0.00007114806,0.0020527483],"genre_scores_gemma":[0.99810636,0.0000035224573,0.00045211386,0.0005667302,0.000021148444,0.0004886991,0.000033788245,0.000011335298,0.00031631024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800324,0.0008998053,0.00038078334,0.00024863065,0.0003576226,0.00010993139],"domain_scores_gemma":[0.99827486,0.0005938576,0.00037102267,0.00043144973,0.00027880038,0.000049988008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008615336,0.00009545357,0.00016142268,0.000099460376,0.00049309316,0.000004042847,0.00024625348,0.0000603534,0.00039095583],"category_scores_gemma":[0.00027652466,0.00008449341,0.000021230435,0.00010495634,0.00013116217,0.000082417224,0.0003401113,0.00061636657,0.0000070830524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025471412,0.0010473254,0.99098045,0.00001102927,0.00007615507,0.0000010645223,0.0013665131,0.000010180031,0.000055414836,0.0022871324,0.00017079657,0.0014467944],"study_design_scores_gemma":[0.0010527896,0.0032388528,0.97863936,0.000017384666,0.000014929075,0.0000011272236,0.015597227,0.00011811973,0.000007880941,0.000107562824,0.0011225129,0.00008224157],"about_ca_topic_score_codex":0.0005597759,"about_ca_topic_score_gemma":0.0009756725,"teacher_disagreement_score":0.014230714,"about_ca_system_score_codex":0.00020443031,"about_ca_system_score_gemma":0.00016190851,"threshold_uncertainty_score":0.42806923},"labels":[],"label_agreement":null},{"id":"W4285304050","doi":"10.54941/ahfe1002694","title":"Army Crew Training: Coaching with Intelligent Tutoring System (ITS)","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crew; Trainer; Task (project management); Coaching; Computer science; Training (meteorology); Aeronautics; Simulation; Engineering; Artificial intelligence; Systems engineering","score_opus":0.0396706110757296,"score_gpt":0.24915175584434798,"score_spread":0.2094811447686184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285304050","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046079833,0.00015088319,0.9104391,0.00069115526,0.0054793344,0.00025204942,0.000009262785,0.0005350221,0.036363363],"genre_scores_gemma":[0.9840143,0.0000015416288,0.004155665,0.00013339412,0.00045795794,0.000083738465,0.000007498931,0.000021529851,0.011124374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978419,0.00012778722,0.0003402814,0.00046771034,0.00090751785,0.00031481415],"domain_scores_gemma":[0.99916244,0.00012166657,0.000208065,0.00028076238,0.00014114706,0.00008593736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007211041,0.00017674285,0.00017851267,0.00021264046,0.00046600148,0.00028596623,0.0013107108,0.000024428073,0.0001228773],"category_scores_gemma":[0.000038475377,0.00016536172,0.00008756011,0.0002280764,0.000015302898,0.0004061397,0.0005133377,0.00042508214,0.00008116841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017534237,0.000044311175,0.0012303358,0.000018482491,0.000118849945,0.00015195337,0.0057202643,0.031710055,0.00041918436,0.95130545,0.000130809,0.009132756],"study_design_scores_gemma":[0.00047875804,0.00031307267,0.0007072724,0.00027057104,0.000013160452,0.001316613,0.008575358,0.1928764,0.0020416267,0.00018324773,0.79260916,0.0006147407],"about_ca_topic_score_codex":0.00008218361,"about_ca_topic_score_gemma":0.0000024332344,"teacher_disagreement_score":0.9511222,"about_ca_system_score_codex":0.0005273242,"about_ca_system_score_gemma":0.00011212709,"threshold_uncertainty_score":0.6743255},"labels":[],"label_agreement":null},{"id":"W4288781691","doi":"10.54941/ahfe1002729","title":"Sustainable Transport Development Strategy in Developed and Developing Countries","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; Sustainable transport; China; Investment (military); Transportation planning; Business; Scopus; Environmental economics; Transport engineering; Sustainability; Engineering; Economics; Geography; Political science","score_opus":0.010889849130546907,"score_gpt":0.21052357650949172,"score_spread":0.1996337273789448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288781691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904995,0.00023977639,0.0040850225,0.00019334535,0.00017833636,0.00012632785,0.000010676273,0.00009986415,0.0045671337],"genre_scores_gemma":[0.9967876,0.000034010685,0.00077154185,0.000060883973,0.000020603246,0.00010411667,0.00007475242,0.00002021576,0.0021262506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989595,0.000010691539,0.00034829415,0.00016471668,0.0003014934,0.00021531439],"domain_scores_gemma":[0.9998041,0.000018071692,0.000027844766,0.000062800165,0.000055469343,0.00003171417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024634614,0.00011706367,0.00014178755,0.0002655101,0.00010003311,0.000025508334,0.00016789655,0.000026078775,0.00041645253],"category_scores_gemma":[0.0000030961135,0.00013880801,0.000020628297,0.0002177036,0.0000120302875,0.00016532588,0.000027342825,0.00012444732,0.0000066705993],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055596553,0.00006576707,0.8063161,0.00034794596,0.0007454269,0.0009212798,0.010056623,0.13143519,0.00025824562,0.045076873,0.0011805674,0.003540402],"study_design_scores_gemma":[0.00077280967,0.000014918104,0.45175713,0.000034501758,0.000015136249,0.000042722484,0.0031802421,0.0066174804,0.00066114735,0.0002600238,0.5361181,0.00052581663],"about_ca_topic_score_codex":0.00027470474,"about_ca_topic_score_gemma":0.0008360398,"teacher_disagreement_score":0.5349375,"about_ca_system_score_codex":0.0005088211,"about_ca_system_score_gemma":0.0001729913,"threshold_uncertainty_score":0.56604266},"labels":[],"label_agreement":null},{"id":"W4382365380","doi":"10.54941/ahfe1003627","title":"An overview of various tasks and trades in the construction industry offering potential for exoskeletons","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exoskeleton; Wearable computer; Construction industry; Wearable technology; Computer science; Occupational safety and health; Event (particle physics); Human factors and ergonomics; Engineering; Risk analysis (engineering); Computer security; Data science; Forensic engineering; Poison control; Construction engineering; Business; Simulation; Medical emergency; Medicine; Embedded system","score_opus":0.21167723030583976,"score_gpt":0.5410007979956611,"score_spread":0.3293235676898214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382365380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051815,0.00006973632,0.0004404434,0.006548541,0.00063692505,0.0006497509,0.00019080077,0.000023099217,0.0009225717],"genre_scores_gemma":[0.9982895,0.00018761765,0.00045825707,0.00030761174,0.0002836043,0.00021332942,0.00015037962,0.0000072751286,0.00010239227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887687,0.00018736401,0.00032206113,0.00013135461,0.00027346195,0.00020889338],"domain_scores_gemma":[0.9988976,0.00074636773,0.00008304239,0.00009939888,0.000120704484,0.00005288885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086772075,0.000055949786,0.00009881031,0.0001644754,0.00021119034,0.00000801546,0.00016979587,0.00014937586,0.00015228344],"category_scores_gemma":[0.00020570186,0.000044477787,0.000027112275,0.00018766688,0.000060016857,0.000116567484,0.000036197416,0.00043120913,0.000010222987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006890699,0.00023156268,0.68159115,0.0010013785,0.00007526075,0.000015013313,0.005394387,0.0005637773,0.0014187134,0.20554288,0.003979799,0.09949698],"study_design_scores_gemma":[0.0008374312,0.00009074971,0.9746948,0.00011192432,0.000004569914,0.0000078020485,0.001996663,0.010672963,0.000013540738,0.0073135043,0.004200956,0.000055119024],"about_ca_topic_score_codex":0.00035176444,"about_ca_topic_score_gemma":0.00016710872,"teacher_disagreement_score":0.2931036,"about_ca_system_score_codex":0.000046539048,"about_ca_system_score_gemma":0.0002156419,"threshold_uncertainty_score":0.1873413},"labels":[],"label_agreement":null},{"id":"W4382365491","doi":"10.54941/ahfe1003281","title":"Towards Kenyan Sign Language Hand Gesture Recognition Dataset","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gesture; Computer science; Sign language; Artificial intelligence; Gesture recognition; Lexicon; Natural language processing; Sign (mathematics); Alphabet; MNIST database; Speech recognition; Deep learning; Linguistics","score_opus":0.034781387623053425,"score_gpt":0.30101140914616403,"score_spread":0.2662300215231106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382365491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31313494,0.0005789522,0.4789849,0.052422725,0.026471484,0.0018416357,0.0148772,0.004156888,0.10753131],"genre_scores_gemma":[0.98303074,0.000040702893,0.0037777217,0.0013836253,0.0010379697,0.0000771701,0.008612872,0.000019557534,0.0020196573],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868596,0.00005556894,0.00021933751,0.00034778484,0.0004918366,0.00019951675],"domain_scores_gemma":[0.9993054,0.000086452405,0.000084985324,0.0002990478,0.00014058698,0.00008350437],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036934915,0.00012151435,0.000110888875,0.00023593949,0.000091400994,0.00034015972,0.0007436309,0.00007793978,0.00026711746],"category_scores_gemma":[0.0001135856,0.0001116045,0.000053456748,0.00038479688,0.000030104238,0.0005267753,0.0002160183,0.00013510871,0.0040619983],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001883759,0.00011105268,0.0008000096,0.000026362617,0.00016915827,0.0003985061,0.0034389205,0.00002601584,0.0058345445,0.0030810595,0.47669736,0.50939816],"study_design_scores_gemma":[0.001885371,0.00013001417,0.025001382,0.00020723382,0.000021252588,0.00037592844,0.0005707932,0.013058137,0.018874852,0.009219407,0.9298241,0.00083152903],"about_ca_topic_score_codex":0.00007471669,"about_ca_topic_score_gemma":0.00004000821,"teacher_disagreement_score":0.6698958,"about_ca_system_score_codex":0.000041943273,"about_ca_system_score_gemma":0.000052493826,"threshold_uncertainty_score":0.99671346},"labels":[],"label_agreement":null},{"id":"W4382365757","doi":"10.54941/ahfe1003065","title":"On the Development of Protective Devices for Bending Press","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Brake; Factory (object-oriented programming); Mechanical engineering; Engineering; Work (physics); Computer science; Manufacturing engineering; Automotive engineering","score_opus":0.2866445659912539,"score_gpt":0.5598593884174954,"score_spread":0.2732148224262415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382365757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8983149,0.000021253758,0.0051041576,0.017481862,0.0022603092,0.00525573,0.00031286085,0.000115051735,0.0711339],"genre_scores_gemma":[0.9943423,0.0000035268001,0.00071158353,0.0002862886,0.00020719568,0.0021416475,0.00008134213,0.0000094581965,0.0022166076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988603,0.00009522771,0.00031691857,0.000119282595,0.00038977904,0.00021846715],"domain_scores_gemma":[0.9957893,0.003630393,0.000119880635,0.000082045495,0.00033933332,0.000039071074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011105068,0.000051924933,0.00007139191,0.000092029426,0.00049064297,0.000003899217,0.0002263547,0.000047118032,0.00029445186],"category_scores_gemma":[0.0009764525,0.000034447967,0.000029735327,0.000109127264,0.000020916892,0.000044845063,0.00008108572,0.00018801706,0.00021147238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021750352,0.00021456098,0.06700711,0.0010123221,0.00033269366,0.0000015020105,0.016368128,0.0002795044,0.00064771954,0.7834531,0.04689733,0.08161096],"study_design_scores_gemma":[0.0011467077,0.00014656027,0.79492015,0.0005247943,0.0000043792484,2.3770389e-7,0.0024533237,0.0064745196,0.0012973284,0.018658787,0.17422892,0.00014431748],"about_ca_topic_score_codex":0.000038797636,"about_ca_topic_score_gemma":0.00013996285,"teacher_disagreement_score":0.76479435,"about_ca_system_score_codex":0.00011583752,"about_ca_system_score_gemma":0.000357177,"threshold_uncertainty_score":0.37736785},"labels":[],"label_agreement":null},{"id":"W4382563255","doi":"10.54941/ahfe1003940","title":"Emotional space design research based on bibliometric tools","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Space (punctuation); Citation; Citation index; Data science; Information retrieval; World Wide Web","score_opus":0.17986076270792628,"score_gpt":0.3429570417058,"score_spread":0.1630962789978737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382563255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10822643,0.00015077204,0.73787284,0.011596923,0.0034030962,0.000650046,0.00019517892,0.0023280648,0.13557662],"genre_scores_gemma":[0.9939278,0.000042074185,0.0014041176,0.00008233153,0.00029624486,0.000034736342,0.00009595586,0.000024610117,0.0040921587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837744,0.000068792004,0.00015567147,0.00017644784,0.0009775106,0.00024412155],"domain_scores_gemma":[0.9988133,0.0007510079,0.000013908084,0.0001540731,0.00019470017,0.00007305547],"candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics","insufficient_payload"],"category_scores_codex":[0.00073386147,0.00009477762,0.00009150409,0.020624096,0.000068582674,0.00014273459,0.00030462557,0.000058643058,0.0015769051],"category_scores_gemma":[0.00040890314,0.00009298348,0.00007710553,0.023157569,0.00003680081,0.0001333102,0.000029633,0.00020416403,0.0027597225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032267482,0.000063898755,0.002443299,0.000010934401,0.00013845584,0.000053335367,0.000042473377,0.6285936,0.0027613484,0.0036770394,0.34457,0.017613312],"study_design_scores_gemma":[0.0002270544,0.000047003257,0.029059907,0.000021178506,0.000004267428,0.0000010603283,0.000009110332,0.95208275,0.0016296102,0.000956559,0.015846811,0.00011469814],"about_ca_topic_score_codex":0.000022720304,"about_ca_topic_score_gemma":0.000003848629,"teacher_disagreement_score":0.88570136,"about_ca_system_score_codex":0.00013515253,"about_ca_system_score_gemma":0.000032500706,"threshold_uncertainty_score":0.99933577},"labels":[],"label_agreement":null},{"id":"W4382644464","doi":"10.54941/ahfe1003849","title":"Black Hole Illusion In Aviation – A Simulator Experiment to examine Predominant Criteria in a Real–Life Environment","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of West London","keywords":"Aeronautics; Simulation; Crew; Cockpit; Flight simulator; Runway; Terrain; Computer science; Joystick; Engineering","score_opus":0.043683329736964344,"score_gpt":0.3966317598678305,"score_spread":0.3529484301308662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382644464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842242,0.0000064377323,0.0007977027,0.002727364,0.0014271874,0.0003974815,0.000027438846,0.000084183586,0.0103079965],"genre_scores_gemma":[0.99077815,0.000018152126,0.000096258496,0.00058657903,0.00017049893,0.00024132535,0.00014059816,0.000019895295,0.007948532],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9984172,0.00011826587,0.0005470767,0.00036673262,0.0003305898,0.00022011503],"domain_scores_gemma":[0.9994404,0.00011168321,0.000101247446,0.00022226326,0.000034524517,0.000089907735],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036114032,0.00013570019,0.00015487261,0.0005712034,0.000031505042,0.000033481145,0.00019020206,0.00008285787,0.017855013],"category_scores_gemma":[0.00010294146,0.00014299473,0.000048809507,0.00020160731,0.000025027715,0.00013538757,0.00011455552,0.000114743845,0.006277998],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050731744,0.0067518074,0.085656494,0.000078488985,0.00047531855,0.0007982077,0.32118875,0.1499724,0.16868903,0.08114049,0.1517086,0.028467268],"study_design_scores_gemma":[0.002635523,0.0001357386,0.86128765,0.00008041065,0.0000035575251,0.0000028939955,0.0031434617,0.07870569,0.0006682252,0.0001800959,0.052887578,0.0002691764],"about_ca_topic_score_codex":0.00032832965,"about_ca_topic_score_gemma":0.00011049141,"teacher_disagreement_score":0.7756311,"about_ca_system_score_codex":0.00040167884,"about_ca_system_score_gemma":0.000020043448,"threshold_uncertainty_score":0.99449575},"labels":[],"label_agreement":null},{"id":"W4382644618","doi":"10.54941/ahfe1003340","title":"Housing in Japan toward a Super-ageing Society: How Far Have We Accomplished and What Remains to Be Done?","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Incentive; Population ageing; Subsidy; Population; Quarter (Canadian coin); Work (physics); Business; Engineering; Economic growth; Political science; Economics; Geography; Medicine; Environmental health; Law","score_opus":0.058325828229443315,"score_gpt":0.32688647668522225,"score_spread":0.2685606484557789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382644618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048472,0.00019777073,0.00020569448,0.09297703,0.00059191143,0.00014700122,0.00000902611,0.00009125459,0.00093311537],"genre_scores_gemma":[0.993075,0.0028519407,0.00040923798,0.0011847268,0.00052722945,0.0000225852,0.000017767354,0.000011316461,0.0019001571],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99886215,0.000049949664,0.00014378186,0.0002587046,0.00042789243,0.00025754463],"domain_scores_gemma":[0.9995746,0.0001419638,0.00004412029,0.00007219091,0.000097547476,0.00006955783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048334405,0.000100178484,0.00012940449,0.00014658613,0.0003405869,0.0006440941,0.00019853469,0.000056066867,0.000046981648],"category_scores_gemma":[0.00020360172,0.00010313489,0.000062941755,0.00026697444,0.00009754166,0.0008752264,0.00013589987,0.00009997536,0.0000122832325],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071305485,0.000024302943,0.07139678,0.000010255928,0.00006245371,0.000016359412,0.8871219,0.000027824906,0.00018696592,0.00550416,0.028047342,0.007594502],"study_design_scores_gemma":[0.0007377529,0.000033703516,0.43296748,0.00023770126,0.000018569031,0.0000024305898,0.27754688,0.0025564781,0.00009940775,0.0066894274,0.27864635,0.00046380534],"about_ca_topic_score_codex":0.007164033,"about_ca_topic_score_gemma":0.113497734,"teacher_disagreement_score":0.60957503,"about_ca_system_score_codex":0.00012678988,"about_ca_system_score_gemma":0.00005393353,"threshold_uncertainty_score":0.99944735},"labels":[],"label_agreement":null},{"id":"W4382644727","doi":"10.54941/ahfe1003087","title":"Evaluating sustainable and green building designs using human factor approaches","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data collection; Architectural engineering; Variety (cybernetics); Efficient energy use; Engineering; Government (linguistics); Zero-energy building; Post-occupancy evaluation; Building design; Construction engineering; Computer science","score_opus":0.20075688154747198,"score_gpt":0.3446703563645391,"score_spread":0.1439134748170671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382644727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95919997,0.000033287524,0.039168924,0.00004024901,0.00016782546,0.000059258702,0.0000029633804,0.00030756736,0.0010199369],"genre_scores_gemma":[0.9914146,0.0000062649765,0.0076286863,0.000011441307,0.00012840165,0.000012039722,0.000027262122,0.000023753713,0.00074757333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942875,0.000011551703,0.00012037218,0.000122443,0.00015288226,0.00016400046],"domain_scores_gemma":[0.99981266,0.000033100652,0.00002276415,0.00006603736,0.0000365283,0.000028893894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014345333,0.00008320275,0.000064510816,0.00015600982,0.000121206605,0.000065616114,0.00010529769,0.00004628443,0.000044545915],"category_scores_gemma":[0.000022598339,0.0000913373,0.000020972473,0.00015124532,0.000015340462,0.00022136696,0.00006176672,0.00007193379,0.0000016405977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018032574,0.0000040752025,0.0013003391,0.000022482736,0.00004494511,0.000004373276,0.00021335106,0.97182256,0.008782437,0.01434733,0.00004899465,0.003407282],"study_design_scores_gemma":[0.00014159144,0.000009299862,0.0010111949,0.000017197697,0.0000063662937,0.000005549023,0.00012709966,0.99400914,0.0017020726,0.0025975858,0.00026201046,0.00011090526],"about_ca_topic_score_codex":0.0000668378,"about_ca_topic_score_gemma":0.000003560719,"teacher_disagreement_score":0.03221459,"about_ca_system_score_codex":0.00007616347,"about_ca_system_score_gemma":0.000009500125,"threshold_uncertainty_score":0.3724627},"labels":[],"label_agreement":null},{"id":"W4382644804","doi":"10.54941/ahfe1003478","title":"Quality Care and Patient Safety: A Best Practice Model for Medical Error Disclosure","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blame; Health care; Patient safety; Regret; Documentation; Full disclosure; Best practice; Quality (philosophy); Business; Process (computing); Psychology; Computer science; Political science; Social psychology; Computer security","score_opus":0.12109458267773854,"score_gpt":0.5362565685077064,"score_spread":0.4151619858299679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382644804","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.444333,0.0003066929,0.0068787327,0.5003487,0.0032700421,0.0017041607,0.0007917556,0.00026707954,0.04209983],"genre_scores_gemma":[0.9844423,0.00025635498,0.0025974538,0.00801051,0.00064068113,0.00041001223,0.00034854797,0.000022826054,0.0032713362],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976113,0.00032616506,0.00059182354,0.00030079723,0.0008819627,0.0002879441],"domain_scores_gemma":[0.99367994,0.0051492713,0.00021154837,0.00018826338,0.00053346215,0.00023750513],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0013310963,0.000109383676,0.00018590345,0.00006215679,0.0003163798,0.000013786266,0.00019457791,0.00021206109,0.0008807354],"category_scores_gemma":[0.023254052,0.0000892187,0.00005875868,0.000091553666,0.00008180768,0.00027004766,0.00022150774,0.0004840504,0.0002895621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035716223,0.0013685625,0.060125805,0.0022154122,0.000605115,0.00008745695,0.1865069,0.00035018424,0.00007559509,0.2296232,0.3182068,0.19726336],"study_design_scores_gemma":[0.001241021,0.0001621192,0.0025713127,0.00023431721,0.000034143777,0.000003421591,0.054273922,0.04269098,0.0000024488002,0.0026029064,0.89602685,0.0001565497],"about_ca_topic_score_codex":0.00031997962,"about_ca_topic_score_gemma":0.00036522147,"teacher_disagreement_score":0.57782006,"about_ca_system_score_codex":0.000106131585,"about_ca_system_score_gemma":0.00039196413,"threshold_uncertainty_score":0.9849735},"labels":[],"label_agreement":null},{"id":"W4382645012","doi":"10.54941/ahfe1003216","title":"Research Hotspots and Trend Analysis of User Experience Design for Healthcare Service System","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Service (business); Bibliometrics; Health care; Multidisciplinary approach; World Wide Web; Citation; Standardization; User experience design; Information system; Data science; Information retrieval; Knowledge management; Engineering; Human–computer interaction","score_opus":0.1937467508046885,"score_gpt":0.3988835630154664,"score_spread":0.2051368122107779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382645012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98420614,0.00002542063,0.0007024048,0.013673137,0.0003812087,0.00022379962,0.000020399608,0.00007061912,0.0006968595],"genre_scores_gemma":[0.99755484,0.0000060449393,0.00022386285,0.0012550328,0.00043749323,0.000081410166,0.00022869211,0.000009467239,0.00020316715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990566,0.000013994499,0.00022050555,0.00021451572,0.00034827396,0.00014610459],"domain_scores_gemma":[0.9987066,0.00014857046,0.00011020102,0.00013668872,0.0008915529,0.000006419822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087731646,0.000062602085,0.000117528085,0.0011999785,0.00010556913,0.00010086674,0.0002173467,0.000036471225,0.00004840146],"category_scores_gemma":[0.00007434457,0.000060267805,0.000031293974,0.0034343984,0.000017769082,0.0004613582,0.00009490006,0.00004976466,0.000028980858],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008159808,0.00015800938,0.22683623,0.0029363276,0.0018660531,0.000014861746,0.0057552885,0.005440071,0.009354131,0.7051971,0.023779927,0.017846014],"study_design_scores_gemma":[0.0008517857,0.000031380972,0.6441173,0.00020185811,0.00021339941,0.0000016919932,0.014984511,0.29373735,0.000785742,0.0035034118,0.041264057,0.00030752455],"about_ca_topic_score_codex":0.0012306549,"about_ca_topic_score_gemma":0.00040312688,"teacher_disagreement_score":0.7016937,"about_ca_system_score_codex":0.000026607693,"about_ca_system_score_gemma":0.000013767336,"threshold_uncertainty_score":0.24576499},"labels":[],"label_agreement":null},{"id":"W4383959100","doi":"10.54941/ahfe1003692","title":"A Designer Situation","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meritocracy; Incentive; Ideology; Sociology; Value (mathematics); Public relations; Engineering ethics; Marketing; Computer science; Political science; Engineering; Business; Economics; Law","score_opus":0.09110210303028037,"score_gpt":0.4365548515164677,"score_spread":0.34545274848618734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383959100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8079754,0.000004967357,0.0021791884,0.008009137,0.0062854453,0.00008465039,0.000010623237,0.00022117306,0.17522943],"genre_scores_gemma":[0.94550693,0.0000037643,0.00007263179,0.00072988716,0.00019135079,0.000035643287,0.000026090762,0.000005156872,0.053428546],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994668,0.00002845319,0.00008484599,0.00015038702,0.00017079982,0.0000987147],"domain_scores_gemma":[0.9996681,0.00012170968,0.000030654275,0.0001063097,0.000043868542,0.000029317127],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014631954,0.000040598938,0.000031752756,0.00013956748,0.000044615314,0.000028715018,0.00015873044,0.000022999398,0.0050938968],"category_scores_gemma":[0.00012547789,0.000040394032,0.00002425309,0.00024195029,0.000034445704,0.00008192543,0.000022420641,0.00004585896,0.0070963856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052100793,0.0003973776,0.055266857,0.0000022666559,0.000049030503,0.00003927788,0.009746898,0.00009082251,0.028015308,0.22336565,0.621627,0.06134744],"study_design_scores_gemma":[0.00039488813,0.000039302417,0.7270287,0.0000061417945,0.0000045235206,0.00003111516,0.0009349872,0.0015422244,0.0013247301,0.0035539083,0.2649973,0.00014213406],"about_ca_topic_score_codex":0.000024765288,"about_ca_topic_score_gemma":0.0000051308493,"teacher_disagreement_score":0.6717619,"about_ca_system_score_codex":0.000021866665,"about_ca_system_score_gemma":0.00001803219,"threshold_uncertainty_score":0.9958156},"labels":[],"label_agreement":null},{"id":"W4388104371","doi":"10.54941/ahfe1004370","title":"Medical Error Disclosure in Healthcare – The Scene across Canada","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blame; Documentation; Health care; Full disclosure; Regret; Patient safety; Business; Psychology; Political science; Computer security; Computer science; Psychiatry","score_opus":0.0836507281445439,"score_gpt":0.5137762953345232,"score_spread":0.4301255671899793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388104371","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48546866,0.000029744675,0.00000412634,0.5104784,0.0022825229,0.00016639433,0.00005346097,0.000034867782,0.0014818381],"genre_scores_gemma":[0.9768568,0.000062740895,0.000012481828,0.017878834,0.00088808214,0.000115639246,0.00010016335,0.000010579023,0.00407466],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972979,0.0004192698,0.00046194586,0.00020589895,0.0011604878,0.00045449546],"domain_scores_gemma":[0.9971913,0.0021568025,0.00010065873,0.00022026752,0.00013662621,0.00019431289],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001973421,0.0000863801,0.00014082983,0.00002409425,0.00029734656,0.000009025747,0.0005085898,0.000145258,0.0037319097],"category_scores_gemma":[0.005741196,0.00005559477,0.000030432762,0.00027087302,0.00008016448,0.00008290776,0.00023615707,0.0010050865,0.00048885716],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004952164,0.00004636886,0.74849635,0.00008792083,0.000027481177,0.000139195,0.003628244,0.0000074055697,0.0000028201835,0.0065335413,0.2341486,0.0068325647],"study_design_scores_gemma":[0.0003911659,0.0000102548065,0.41310117,0.00014769123,0.0000016639591,0.0000024259282,0.006562423,0.0010877611,0.0000018728452,0.00068010355,0.5779502,0.00006328758],"about_ca_topic_score_codex":0.6970503,"about_ca_topic_score_gemma":0.9510022,"teacher_disagreement_score":0.49259955,"about_ca_system_score_codex":0.00026917265,"about_ca_system_score_gemma":0.0014030512,"threshold_uncertainty_score":0.9971788},"labels":[],"label_agreement":null},{"id":"W4399478244","doi":"10.54941/ahfe1004733","title":"Using Cardiac and Electrodermal Activity as Cognitive Markers for Interruptions and Distraction in a Surveillance Simulation","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Distraction; Task (project management); Cognition; Workload; Computer science; Public security; Perspective (graphical); Elementary cognitive task; Cognitive psychology; Affect (linguistics); Psychology; Computer security; Simulation; Artificial intelligence; Engineering; Communication","score_opus":0.29957770452287547,"score_gpt":0.530260108667566,"score_spread":0.23068240414469054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687613,0.00004631828,0.029025398,0.0006107906,0.00042311384,0.0001980522,0.00009308537,0.00001993302,0.0008219951],"genre_scores_gemma":[0.9992384,0.000016078544,0.00015773924,0.000041331838,0.00006923177,0.000020246258,0.000032411237,0.0000045227553,0.00042009357],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991194,0.000041657775,0.0002054745,0.00021705226,0.00032293235,0.000093508424],"domain_scores_gemma":[0.9988831,0.0008561995,0.000060383296,0.000043843054,0.0001274684,0.000029006416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705841,0.00007227257,0.00008831392,0.00029198072,0.000062389896,0.00040974584,0.00006812611,0.000033772605,0.0000693271],"category_scores_gemma":[0.00041438453,0.000066348206,0.000044642817,0.00016327278,0.000038498798,0.0011435116,0.00004387326,0.0000788407,0.000011493558],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001357782,0.00013993954,0.3499773,0.00005690294,0.00027159648,0.00001595531,0.0029778194,0.00478563,0.00764677,0.01128819,0.0011831959,0.6202989],"study_design_scores_gemma":[0.0002359138,0.00002694951,0.39431348,0.000031787113,0.000011519314,0.0000049947994,0.00046847164,0.5995457,0.00007672607,0.0015195276,0.0036731155,0.00009179651],"about_ca_topic_score_codex":0.00006695158,"about_ca_topic_score_gemma":0.00007282462,"teacher_disagreement_score":0.62020713,"about_ca_system_score_codex":0.000067515946,"about_ca_system_score_gemma":0.000026149452,"threshold_uncertainty_score":0.39511886},"labels":[],"label_agreement":null},{"id":"W4399478614","doi":"10.54941/ahfe1004902","title":"Design a Rehabilitation Platform to Improve Mild Cognitive Impairment by Integrating Cognitive Training Games with Moderate-intensity Cycling Exercise","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Training (meteorology); Cognition; Physical medicine and rehabilitation; Rehabilitation; Cognitive impairment; Cognitive training; Cognitive rehabilitation therapy; Computer science; Intensity (physics); Human–computer interaction; Psychology; Physical therapy; Medicine; Neuroscience","score_opus":0.03849820115840855,"score_gpt":0.3436867135051723,"score_spread":0.30518851234676375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75153893,0.00034222708,0.2360631,0.0040456466,0.0018986738,0.0013443182,0.00023887481,0.00019884935,0.0043293987],"genre_scores_gemma":[0.9885891,0.000009678096,0.006845931,0.0006954623,0.00026132594,0.000821904,0.0003961302,0.000044289973,0.0023361936],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9981732,0.000056997535,0.00041706447,0.00067771034,0.00037819252,0.00029688355],"domain_scores_gemma":[0.9977819,0.0012004455,0.00011941852,0.00012064233,0.0006531107,0.0001244835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005284541,0.0002472928,0.00022385556,0.0002515379,0.00010783568,0.00021360154,0.00015511023,0.00010062069,0.0004216273],"category_scores_gemma":[0.00025207753,0.00021664279,0.00008423114,0.00023848168,0.000088120854,0.00035217544,0.000033396787,0.000302513,0.00023724117],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011874306,0.0017305048,0.0034603777,0.00014252304,0.002237082,0.00007173865,0.44938594,0.0007097573,0.0062043187,0.023211699,0.027733862,0.4732379],"study_design_scores_gemma":[0.010605398,0.008221866,0.07077827,0.016026348,0.0010835932,0.00037134424,0.6944726,0.13732839,0.030007936,0.021632278,0.005534794,0.003937153],"about_ca_topic_score_codex":0.0001897551,"about_ca_topic_score_gemma":0.000021032729,"teacher_disagreement_score":0.46930075,"about_ca_system_score_codex":0.00022796013,"about_ca_system_score_gemma":0.00014582941,"threshold_uncertainty_score":0.88344365},"labels":[],"label_agreement":null},{"id":"W4399478691","doi":"10.54941/ahfe1004737","title":"Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Thales (Canada); University of Waterloo; Bombardier (Canada); Polytechnique Montréal","funders":"Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Vigilance (psychology); Alertness; Psychomotor vigilance task; Driving simulator; Cognition; Psychomotor learning; Electroencephalography; Arousal; Psychology; Sleep deprivation; Simulation; Computer science; Cognitive psychology; Social psychology","score_opus":0.01883130330029704,"score_gpt":0.3391939834349079,"score_spread":0.3203626801346109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95385414,0.00016023716,0.0118758315,0.0038232731,0.0023117904,0.0005064432,0.00030103634,0.00015665307,0.027010584],"genre_scores_gemma":[0.997671,0.000008388617,0.00011883878,0.00026505583,0.000109412955,0.000041732364,0.000083908875,0.000014436289,0.0016872459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986325,0.00012432506,0.00053001486,0.00031381502,0.0002768317,0.00012250876],"domain_scores_gemma":[0.99898976,0.0005947469,0.000118641256,0.00018112086,0.000079560865,0.000036152338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029314033,0.0001183795,0.00015412386,0.0001994932,0.000019405563,0.000028619022,0.000181302,0.00007986769,0.007916165],"category_scores_gemma":[0.0002140487,0.00011813274,0.000083689214,0.000111463814,0.00006303824,0.00019069354,0.000041302268,0.00020472356,0.0004224042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010407582,0.012072847,0.47876823,0.0004938929,0.002731376,0.0009187904,0.03609376,0.109739214,0.030610738,0.09983751,0.022733537,0.19559254],"study_design_scores_gemma":[0.0027934427,0.00045871595,0.6245301,0.00016922607,0.000037043526,0.00003636922,0.0003409499,0.32754278,0.0013478493,0.0012290049,0.041248064,0.00026649996],"about_ca_topic_score_codex":0.00017394978,"about_ca_topic_score_gemma":0.000015760375,"teacher_disagreement_score":0.21780357,"about_ca_system_score_codex":0.00014528363,"about_ca_system_score_gemma":0.000034170942,"threshold_uncertainty_score":0.99299073},"labels":[],"label_agreement":null},{"id":"W4399478796","doi":"10.54941/ahfe1004735","title":"NeuroTeaming: Using Power Spectral Density for Adjusting Teaming Dynamics in Pilot-AI Task Allocation","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Thales (Canada)","funders":"","keywords":"Computer science; Task (project management); Transparency (behavior); Interdependence; Situation awareness; Electroencephalography; Task analysis; Artificial intelligence; Human–computer interaction; Obstacle avoidance; Identification (biology); Obstacle; Engineering; Computer security; Robot; Psychology; Systems engineering; Mobile robot","score_opus":0.03924021624879075,"score_gpt":0.38853808740008167,"score_spread":0.3492978711512909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8169171,0.000041081363,0.14334875,0.003180656,0.009599161,0.00036305745,0.0000503483,0.0002594673,0.026240334],"genre_scores_gemma":[0.99481475,0.0000014480577,0.0011140874,0.00065609306,0.00041231368,0.000035399687,0.00010635583,0.00003213571,0.0028273987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871564,0.00005912093,0.00042889715,0.00036641632,0.00020574675,0.00022420025],"domain_scores_gemma":[0.9993321,0.00024129117,0.00008944095,0.00014056945,0.00015316822,0.000043446867],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003206947,0.00013969376,0.00012196111,0.00037773768,0.000085697844,0.00015275848,0.00017661208,0.00007368347,0.0012581266],"category_scores_gemma":[0.0001762183,0.00015660923,0.00008854291,0.00015583442,0.00003290096,0.00036673932,0.00003808626,0.00029855885,0.0001703972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005231482,0.0007038317,0.02431221,0.00010586393,0.00047207825,0.00018498432,0.008953226,0.0034575257,0.017617706,0.90562737,0.009923421,0.028118664],"study_design_scores_gemma":[0.0008314678,0.00011684,0.049653135,0.00018226348,0.00002558339,0.00019740268,0.0013667418,0.928412,0.00026868054,0.0025300456,0.016102277,0.00031355576],"about_ca_topic_score_codex":0.0002634926,"about_ca_topic_score_gemma":0.000342251,"teacher_disagreement_score":0.9249545,"about_ca_system_score_codex":0.0006579801,"about_ca_system_score_gemma":0.000057493264,"threshold_uncertainty_score":0.9996548},"labels":[],"label_agreement":null},{"id":"W4399478893","doi":"10.54941/ahfe1004624","title":"Investigation of Potential fNIRS-based Biomarkers in Multi-Domain Virtual Reality Tasks for MCI Assessment","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Virtual reality; Human–computer interaction; Domain (mathematical analysis)","score_opus":0.026498402488934744,"score_gpt":0.306428026521212,"score_spread":0.2799296240322772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6243312,0.000034188077,0.37254277,0.0006219687,0.0014986986,0.00023677188,0.00018675195,0.00010792644,0.00043977096],"genre_scores_gemma":[0.99445957,0.0000035214648,0.0048213387,0.00003017005,0.00011724985,0.000040078055,0.00048629852,0.000017022054,0.000024738792],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992434,0.000024341982,0.0002917239,0.000138965,0.0001989668,0.000102605045],"domain_scores_gemma":[0.9997441,0.00007562929,0.000027592494,0.000061488565,0.00006257615,0.000028619696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025834996,0.000087605375,0.00008833262,0.00017828881,0.000015459533,0.000028815259,0.00008473791,0.00006801495,0.000041421885],"category_scores_gemma":[0.000026250464,0.00009244618,0.00006996409,0.00012635255,0.00003270166,0.00013320881,0.000009506196,0.000086328364,0.000004198597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018841498,0.00009261303,0.006600065,0.00032493504,0.0004756173,0.000026241662,0.00061374623,0.21354881,0.7413288,0.016779447,0.0041947807,0.015826572],"study_design_scores_gemma":[0.00070355844,0.00003578274,0.01578105,0.00009665977,0.000010789204,0.0000014335004,0.000039785235,0.95046747,0.031001274,0.000959089,0.0007963616,0.00010673053],"about_ca_topic_score_codex":0.0001446531,"about_ca_topic_score_gemma":0.00007177618,"teacher_disagreement_score":0.7369187,"about_ca_system_score_codex":0.00019376341,"about_ca_system_score_gemma":0.000041533007,"threshold_uncertainty_score":0.37698457},"labels":[],"label_agreement":null},{"id":"W4399478946","doi":"10.54941/ahfe1005443","title":"Challenges and Opportunities of Low-Code Figma and Modul-F for Use within the Public Sector","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public sector; Code (set theory); Computer science; Business; Programming language; Political science","score_opus":0.2811745436951643,"score_gpt":0.3760532753797864,"score_spread":0.09487873168462208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399478946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5557606,0.0119136,0.00072071434,0.39749843,0.0015817503,0.000514174,0.00018031479,0.00024306217,0.031587314],"genre_scores_gemma":[0.9926433,0.005359218,0.0005388341,0.00015111087,0.00006520744,0.000034252153,0.000008264881,0.000004197728,0.0011956099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961525,0.000039183793,0.000094072595,0.00008414963,0.000110163215,0.000057200716],"domain_scores_gemma":[0.9992762,0.0004854957,0.000035271718,0.000093045936,0.00008607588,0.000023862724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033872205,0.0000357067,0.00004695503,0.00007060852,0.00007878113,0.000074650154,0.00020497957,0.000045627006,0.000060794046],"category_scores_gemma":[0.00031516427,0.000026899394,0.00001628842,0.000023163004,0.0003280879,0.00018121063,0.000066396075,0.000058783655,0.0000011422062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002879064,0.000010141333,0.00013003312,0.000010557748,0.00003138771,4.0280395e-7,0.0057237986,1.359429e-7,0.00003416543,0.9201684,0.00051215733,0.07337595],"study_design_scores_gemma":[0.00022223056,0.000027381677,0.002702153,0.000065255415,0.000009064423,0.0000062018103,0.008579652,0.014813042,0.0001421104,0.040703885,0.93263286,0.000096159085],"about_ca_topic_score_codex":0.000074651856,"about_ca_topic_score_gemma":0.00170652,"teacher_disagreement_score":0.9321207,"about_ca_system_score_codex":0.000012918682,"about_ca_system_score_gemma":0.00005746795,"threshold_uncertainty_score":0.12088536},"labels":[],"label_agreement":null},{"id":"W4399479066","doi":"10.54941/ahfe1004895","title":"Retired independent women adjusting to co-living","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Independent living; Computer science; Medicine; Gerontology","score_opus":0.0206464526400184,"score_gpt":0.34947707669157385,"score_spread":0.32883062405155544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399479066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8963531,0.00017768749,0.0011923003,0.004138912,0.0023648324,0.000116430405,0.000012624507,0.0002002072,0.09544385],"genre_scores_gemma":[0.97445446,0.00006231942,0.0001879019,0.00030875462,0.0013784888,0.000034432127,0.0000037842908,0.000007887073,0.02356194],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989326,0.00004255845,0.0001429706,0.00019069732,0.00048609657,0.00020508081],"domain_scores_gemma":[0.99955684,0.00019482632,0.00002630846,0.00005541046,0.000088373876,0.00007822833],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006012402,0.00006513064,0.000066385444,0.000119088305,0.00026445373,0.00021899307,0.0002067189,0.000033804165,0.001406064],"category_scores_gemma":[0.0004372738,0.000064786196,0.00003498725,0.00014058796,0.00004226986,0.00018881036,0.000057386733,0.000082357044,0.0002928231],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051573693,0.00002464328,0.016446847,0.000011283336,0.00010216421,0.000020690708,0.8604269,0.00002740076,0.00014099405,0.0495241,0.06347228,0.009797559],"study_design_scores_gemma":[0.00008766881,0.000025906671,0.09370417,0.00018660804,0.000009138279,0.0000024419073,0.011032807,0.0005387946,0.00006292574,0.0036737125,0.89045,0.00022580843],"about_ca_topic_score_codex":0.0035882657,"about_ca_topic_score_gemma":0.004777463,"teacher_disagreement_score":0.8493941,"about_ca_system_score_codex":0.00028020333,"about_ca_system_score_gemma":0.0000989729,"threshold_uncertainty_score":0.9995068},"labels":[],"label_agreement":null},{"id":"W4399479283","doi":"10.54941/ahfe1005241","title":"Safety Culture Indicators - For Improvement Not Assessment","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Safety culture; Computer science; Reliability engineering; Engineering; Management","score_opus":0.06497251652847624,"score_gpt":0.5450457135921596,"score_spread":0.48007319706368334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399479283","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0775324,0.000820171,0.09337268,0.17442462,0.04407882,0.01199489,0.007670664,0.0010059042,0.5890998],"genre_scores_gemma":[0.95601857,0.00020481311,0.003263105,0.0038905172,0.0023476672,0.0016003823,0.0011434383,0.000033054508,0.031498436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981014,0.000075392265,0.00050480326,0.000304583,0.0006179669,0.0003958632],"domain_scores_gemma":[0.99850357,0.00086877856,0.00007463768,0.00013913313,0.00024908312,0.00016481435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009635703,0.00011216471,0.00012440844,0.00021944303,0.00045986034,0.000028934393,0.00026157039,0.00014165681,0.0028259421],"category_scores_gemma":[0.00019073169,0.00008928737,0.00009628776,0.00017096904,0.000030979274,0.00015449713,0.00011023635,0.00056858745,0.00047168165],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065928395,0.00015717674,0.034481138,0.00086956704,0.00028995363,0.000010892527,0.0014271304,0.000017320614,0.0008667456,0.51038426,0.20223479,0.24860176],"study_design_scores_gemma":[0.00068812276,0.00014816767,0.06396161,0.00014632681,0.000008043894,8.3525117e-7,0.00021356618,0.004232967,0.000054662694,0.0022189743,0.92822444,0.00010225268],"about_ca_topic_score_codex":0.0000692469,"about_ca_topic_score_gemma":0.000032869077,"teacher_disagreement_score":0.87848616,"about_ca_system_score_codex":0.000711957,"about_ca_system_score_gemma":0.0010472978,"threshold_uncertainty_score":0.9980856},"labels":[],"label_agreement":null},{"id":"W4399479314","doi":"10.54941/ahfe1004840","title":"Patient Centered Care: Medical Error Disclosure Guidelines Across Canada","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Patient care; Medicine; Nursing","score_opus":0.0861019767020421,"score_gpt":0.5081119509525193,"score_spread":0.42200997425047715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399479314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61399126,0.0012138187,0.00017026803,0.34907544,0.021649733,0.00036080478,0.00048733637,0.0001561545,0.0128951855],"genre_scores_gemma":[0.98350435,0.00006603473,0.00016575157,0.010391451,0.0022470998,0.0000800437,0.00023939804,0.000019387735,0.0032864572],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970781,0.00017678084,0.0007051094,0.00031193954,0.0013552862,0.0003727747],"domain_scores_gemma":[0.9980945,0.0008533263,0.00008460878,0.00020402668,0.00048353197,0.000280016],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004844886,0.00013223138,0.00016217114,0.000022051601,0.00020755247,0.00002929113,0.0003200377,0.00016317178,0.013611719],"category_scores_gemma":[0.0046043852,0.00009805811,0.000065853856,0.00009391565,0.0000594599,0.00015006064,0.00023441209,0.00071041536,0.00039047224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005588234,0.000059247395,0.033260316,0.00032303252,0.0001405753,0.00030801806,0.00950203,0.000005511114,0.000012742194,0.003595131,0.90582204,0.0469155],"study_design_scores_gemma":[0.00023701927,0.000024153547,0.0033318351,0.00055939547,0.000009496143,0.0000068873824,0.011386732,0.0009233062,0.000012862158,0.000117254625,0.9832883,0.00010278015],"about_ca_topic_score_codex":0.28843784,"about_ca_topic_score_gemma":0.5988245,"teacher_disagreement_score":0.3695131,"about_ca_system_score_codex":0.00042009773,"about_ca_system_score_gemma":0.0016969622,"threshold_uncertainty_score":0.98728997},"labels":[],"label_agreement":null},{"id":"W4404130128","doi":"10.54941/ahfe1005574","title":"Investigating common factors needed for consumers to trust AI\\ML","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.09491656336525807,"score_gpt":0.45921220216925557,"score_spread":0.3642956388039975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404130128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76227814,0.00004715497,0.00052479684,0.16294257,0.0036340181,0.0002959187,0.00010911838,0.00016597279,0.070002295],"genre_scores_gemma":[0.9899948,0.000011014257,0.00047222874,0.0051337355,0.00047120271,0.000015852169,0.00002943197,0.000012840451,0.0038588517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907637,0.000039741484,0.00015660418,0.00015324906,0.00037297438,0.00020104101],"domain_scores_gemma":[0.9989103,0.0006233106,0.000030288551,0.00005213379,0.0002143483,0.00016960745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055650895,0.000075057185,0.00008912346,0.00009241406,0.00034567015,0.0005501196,0.00026353283,0.0000988776,0.00027024728],"category_scores_gemma":[0.0018525958,0.00007412781,0.000081607635,0.00014360232,0.00017330532,0.00034328952,0.00003724595,0.00017685573,0.000058013273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066077228,0.000023827723,0.019173272,0.000016870325,0.000130591,0.0000027543165,0.062162843,0.000022938395,0.0006321106,0.8431558,0.06912031,0.0055520926],"study_design_scores_gemma":[0.00019874005,0.000056485962,0.0036513458,0.00013089692,0.000020744303,4.2505735e-7,0.02071315,0.0009809664,0.0007739855,0.10482529,0.8683813,0.00026664685],"about_ca_topic_score_codex":0.008759915,"about_ca_topic_score_gemma":0.0038818654,"teacher_disagreement_score":0.79926103,"about_ca_system_score_codex":0.00015854702,"about_ca_system_score_gemma":0.0002638396,"threshold_uncertainty_score":0.9978408},"labels":[],"label_agreement":null},{"id":"W4407669230","doi":"10.54941/ahfe1005902","title":"Behind the AI-Scenes: How FinTech Professionals Navigate Regulations and Privacy Concerns to Enhance User Experience","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Computer science; Information privacy; Human–computer interaction; World Wide Web","score_opus":0.029822893002266943,"score_gpt":0.41029501515585143,"score_spread":0.3804721221535845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407669230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65486413,0.0002048899,0.018537391,0.3158372,0.002490117,0.00093638647,0.00008142323,0.000119679884,0.0069287624],"genre_scores_gemma":[0.983748,0.00006418913,0.0005361025,0.0024235325,0.00033345388,0.00017962526,0.000019037052,0.0000051818884,0.012690843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988152,0.00012105468,0.0001665849,0.0002953926,0.0004149888,0.00018678435],"domain_scores_gemma":[0.9991367,0.00019687739,0.000076197895,0.00027343901,0.0002492494,0.000067551024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004141524,0.000095590265,0.000086699765,0.00007636481,0.0007226533,0.000279051,0.00081479695,0.00007786367,0.0002514157],"category_scores_gemma":[0.0014623578,0.00007702643,0.000034853932,0.00020304449,0.00025980955,0.00059840956,0.0004904539,0.00017663714,0.000021637035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020852125,0.00042348602,0.05734293,0.00004343671,0.00020563323,0.00000959488,0.18544559,0.000028923263,0.008997838,0.46431923,0.20813017,0.07484465],"study_design_scores_gemma":[0.00020753975,0.000020993462,0.026874384,0.00022081462,0.000010314104,0.000001924037,0.00781107,0.00025006192,0.008635472,0.023411898,0.9323561,0.00019939341],"about_ca_topic_score_codex":0.0011529847,"about_ca_topic_score_gemma":0.0011137429,"teacher_disagreement_score":0.724226,"about_ca_system_score_codex":0.000110568464,"about_ca_system_score_gemma":0.00017389008,"threshold_uncertainty_score":0.5558138},"labels":[],"label_agreement":null},{"id":"W4407669302","doi":"10.54941/ahfe1005910","title":"The Impact of Human Implication for AI-Supported Decisions over Perception of Trust, Agency and Dignity","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Dignity; Agency (philosophy); Perception; Business; Internet privacy; Computer science; Psychology; Political science; Sociology; Law; Social science","score_opus":0.10989921787271588,"score_gpt":0.48441118397616173,"score_spread":0.37451196610344584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407669302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98383385,0.000025599837,0.013492679,0.00092221244,0.0001718777,0.00015010632,0.0002998409,0.00000467184,0.0010991719],"genre_scores_gemma":[0.9990149,0.00006158443,0.00013062732,0.000058199344,0.000038225906,0.000009135503,0.00007354994,0.0000024746403,0.00061126775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988503,0.000026776223,0.00045905882,0.00016061401,0.00041266702,0.00009058785],"domain_scores_gemma":[0.9980016,0.00072931265,0.00023082999,0.00024824712,0.0007609529,0.00002908088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009194149,0.000069086396,0.00013383539,0.00010870819,0.00020190368,0.00010694283,0.0004156205,0.000053176092,0.0002364334],"category_scores_gemma":[0.001386202,0.000038499402,0.00018195582,0.00022562864,0.00012081657,0.0002760842,0.000090311965,0.00004959892,0.0000018131329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029769607,0.0004220336,0.4216842,0.000009602822,0.0002844598,2.635528e-7,0.0014661117,0.000032532476,0.11356994,0.047692623,0.09433221,0.3202083],"study_design_scores_gemma":[0.00035619733,0.000059774586,0.94326067,0.000014101483,0.00000960994,7.282274e-7,0.00028077295,0.0016037357,0.00052343047,0.052426524,0.0014254662,0.000039015],"about_ca_topic_score_codex":0.0002489779,"about_ca_topic_score_gemma":0.000013006777,"teacher_disagreement_score":0.5215764,"about_ca_system_score_codex":0.000034702898,"about_ca_system_score_gemma":0.00009224087,"threshold_uncertainty_score":0.258878},"labels":[],"label_agreement":null},{"id":"W4411754319","doi":"10.54941/ahfe1006542","title":"Non-standard work hours, accidents and injuries among seafarers. A systematic Review","year":2025,"lang":"en","type":"review","venue":"AHFE international","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Medical emergency; Computer science; Aeronautics; Medicine; Engineering; Mechanical engineering","score_opus":0.008323181079369807,"score_gpt":0.29111472015617074,"score_spread":0.28279153907680094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411754319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000018803867,0.99036753,0.0003193044,0.000045199384,0.0008589073,0.0011734724,0.00014425283,0.00013352094,0.0069559487],"genre_scores_gemma":[0.000055709894,0.99706334,0.00008407969,0.00012371517,0.00009406159,0.00033416916,0.00038792484,0.000036191224,0.0018208219],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99831927,0.000059901133,0.00082406384,0.00024419389,0.00039366013,0.00015890534],"domain_scores_gemma":[0.99915695,0.00019601197,0.00018265279,0.00027716992,0.00011115165,0.00007604128],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032499616,0.00033878718,0.0014414943,0.00020340343,0.00004112896,0.00012909701,0.00042187446,0.00018340946,0.00028757795],"category_scores_gemma":[0.00023101654,0.00029628497,0.0002847465,0.00028022047,0.000035232504,0.00014152259,0.00012532862,0.0003447216,0.00007085853],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013441658,0.000005287174,0.00014142954,0.91446435,0.0005716792,0.000009212594,0.000022156597,0.0000032491519,2.8676255e-9,0.00014026355,0.016227143,0.068413906],"study_design_scores_gemma":[0.00009041828,0.000004008345,0.000040836658,0.8291001,0.00074810616,0.000010218471,0.000004433559,0.000026788677,1.08467816e-7,0.00001573467,0.1696933,0.00026595528],"about_ca_topic_score_codex":0.0000035303947,"about_ca_topic_score_gemma":0.000003876396,"teacher_disagreement_score":0.15346617,"about_ca_system_score_codex":0.00020576519,"about_ca_system_score_gemma":0.00007426171,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W4411754338","doi":"10.54941/ahfe1006426","title":"Provoking Students to Re-story Stakeholders in their Design Process","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Process management; Design process; Work in process; Engineering; Programming language; Operations management","score_opus":0.08130978651820113,"score_gpt":0.35614274028423726,"score_spread":0.2748329537660361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411754338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5975528,0.00026113112,0.22916739,0.008791105,0.007926414,0.0012588182,0.000013847724,0.0005218862,0.15450664],"genre_scores_gemma":[0.99618995,0.000008730959,0.00089248194,0.000653202,0.00005364172,0.00009410313,0.0000040387577,0.000011330515,0.0020925046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994165,0.00003642138,0.00013563802,0.00012220627,0.0001796905,0.00010955399],"domain_scores_gemma":[0.99964666,0.0001535036,0.000018106775,0.00009041576,0.000059957623,0.000031346128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034654714,0.000077736506,0.000061978724,0.00023713887,0.000023607665,0.00006743348,0.00031118796,0.000031010135,0.00014845737],"category_scores_gemma":[0.00016696141,0.000082116116,0.000015169982,0.00020156149,0.0000066965968,0.000208224,0.000019989826,0.00014969842,0.00005799706],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030383223,0.0008310136,0.07373201,0.00021724621,0.00064268574,0.00003511913,0.031573705,0.5600477,0.006539378,0.00496682,0.18998839,0.1311221],"study_design_scores_gemma":[0.0025467023,0.000086877284,0.14427844,0.00078596425,0.000034137083,0.000010663291,0.013537774,0.06622297,0.02025807,0.0037804162,0.7474273,0.0010307214],"about_ca_topic_score_codex":0.000007967837,"about_ca_topic_score_gemma":0.0000213402,"teacher_disagreement_score":0.55743885,"about_ca_system_score_codex":0.00017506622,"about_ca_system_score_gemma":0.00006184429,"threshold_uncertainty_score":0.33485982},"labels":[],"label_agreement":null},{"id":"W4411754536","doi":"10.54941/ahfe1006507","title":"Vibration Exposure During Neonatal Patient Transport by Ground and Air Ambulance","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vibration; Air transport; Aeronautics; Medicine; Environmental science; Acoustics; Engineering; Physics","score_opus":0.006704074918695478,"score_gpt":0.31337760925700187,"score_spread":0.3066735343383064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411754536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787625,0.00015606743,0.0028602672,0.0033828297,0.0013554329,0.00037869776,0.00003920562,0.000053145253,0.013011864],"genre_scores_gemma":[0.9901776,0.0000426604,0.00015129292,0.0018923242,0.00010826668,0.00010591725,0.000083270235,0.000007029909,0.0074316934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923474,0.000043491484,0.00022633473,0.00018331342,0.00017292831,0.00013920864],"domain_scores_gemma":[0.99968976,0.00006568111,0.000066769564,0.00009116861,0.00005418241,0.000032441392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009739693,0.000080716934,0.00008315995,0.00006712676,0.0002133016,0.000007823793,0.00008565291,0.000052017545,0.00023044877],"category_scores_gemma":[0.000017913875,0.00007481822,0.00002254254,0.000051197894,0.000019160865,0.0001613963,0.000059774906,0.00014687193,0.000021787639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011445637,0.00046263397,0.55044633,0.0015109724,0.00089232443,0.0001560525,0.011556243,0.00029137105,0.03355653,0.14097248,0.14212865,0.11688188],"study_design_scores_gemma":[0.0015704118,0.000057563513,0.8051368,0.00026482384,0.000017738372,0.0000016235815,0.00070656533,0.00024916042,0.00075224397,0.0008467743,0.19024326,0.0001530481],"about_ca_topic_score_codex":0.00015148574,"about_ca_topic_score_gemma":0.00010788051,"teacher_disagreement_score":0.25469047,"about_ca_system_score_codex":0.000086528526,"about_ca_system_score_gemma":0.000029433677,"threshold_uncertainty_score":0.30509984},"labels":[],"label_agreement":null},{"id":"W4411755566","doi":"10.54941/ahfe1006092","title":"Early detection of risk for cognitive decline using mobile apps and eye tracking-based biomarkers","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Eye tracking; Cognitive decline; Cognition; Artificial intelligence; Tracking (education); Medicine; Psychology; Neuroscience; Dementia; Internal medicine","score_opus":0.013042146754199756,"score_gpt":0.31078976395191005,"score_spread":0.2977476171977103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411755566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8259556,0.000026858897,0.17290317,0.00006135121,0.00013349936,0.000356482,0.000079304664,0.000011688221,0.0004720108],"genre_scores_gemma":[0.9975772,0.00001834994,0.0020565472,0.0002129262,0.000024435903,0.000055942586,0.000016288945,0.000009565398,0.000028734285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908316,0.000054433945,0.0002278589,0.0003011025,0.00019600522,0.00013742165],"domain_scores_gemma":[0.9992891,0.00042406353,0.000147258,0.000072294584,0.000026791677,0.000040498897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035093594,0.000092364724,0.00009509665,0.000092862116,0.000102758044,0.000019005365,0.000092350405,0.000052922074,0.00015332944],"category_scores_gemma":[0.0003218447,0.000099793724,0.00004709957,0.00011255867,0.00017858569,0.00015446126,0.00007864835,0.00008203599,0.000009513316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028458162,0.00014758298,0.7223481,0.000020775542,0.000099630146,0.0000015530725,0.0002841177,0.001889091,0.05233008,0.00001721831,0.000008035093,0.22256926],"study_design_scores_gemma":[0.0013389346,0.0000793824,0.8776067,0.00008394101,0.00005162837,8.8858144e-7,0.00018597065,0.06792806,0.051069126,0.0006148266,0.0009226639,0.00011786377],"about_ca_topic_score_codex":0.00069799763,"about_ca_topic_score_gemma":0.00014923605,"teacher_disagreement_score":0.22245139,"about_ca_system_score_codex":0.00016015982,"about_ca_system_score_gemma":0.000016072363,"threshold_uncertainty_score":0.406947},"labels":[],"label_agreement":null},{"id":"W4411755868","doi":"10.54941/ahfe1006190","title":"Patients over Process: Stratifying Risk in the Design, Development, and Deployment of Artificial Intelligence in Healthcare","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Health care; Process (computing); Computer science; Risk analysis (engineering); Business; Software engineering","score_opus":0.1434838832582309,"score_gpt":0.44468662215599686,"score_spread":0.30120273889776594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411755868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907,0.0001213831,0.0054208394,0.0028074316,0.00026386583,0.00048272515,0.0000029743355,0.000006623652,0.00019417127],"genre_scores_gemma":[0.9978777,0.00007907471,0.0012919864,0.00060575904,0.000036329257,0.00007191704,0.000017374601,0.0000043437685,0.00001550205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987647,0.000079503305,0.0005844296,0.00018096088,0.000255056,0.00013537148],"domain_scores_gemma":[0.9993249,0.0002555273,0.000115716204,0.00009258823,0.0001839497,0.000027307184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056024885,0.000080023005,0.00011881267,0.00024978517,0.000047302725,0.0000173184,0.00011618612,0.00005836632,0.000021746238],"category_scores_gemma":[0.00041863756,0.00006365321,0.000016642183,0.00029195612,0.000044785193,0.00008581268,0.000019456118,0.00020480662,0.0000031558036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014871056,0.00028552508,0.7346151,0.00007711091,0.000012593414,0.0000020419475,0.0060649696,0.000065490356,0.000026977488,0.0022620752,0.000026638083,0.2564128],"study_design_scores_gemma":[0.00013852265,0.00019678845,0.92790824,0.0007698495,0.000015471547,0.0000028461684,0.008052222,0.0064114057,0.024692547,0.03133921,0.00033285332,0.00014003171],"about_ca_topic_score_codex":0.0012471956,"about_ca_topic_score_gemma":0.001517133,"teacher_disagreement_score":0.25627276,"about_ca_system_score_codex":0.00013747127,"about_ca_system_score_gemma":0.00034677,"threshold_uncertainty_score":0.25957027},"labels":[],"label_agreement":null},{"id":"W4411755887","doi":"10.54941/ahfe1006207","title":"Stethoscope to Algorithm: Equipping Tomorrow’s Doctors for Artificial Intelligence Driven Healthcare","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stethoscope; Computer science; Health care; Artificial intelligence; Medicine","score_opus":0.07813473254975084,"score_gpt":0.4603010113626261,"score_spread":0.38216627881287524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411755887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08311551,0.000085269516,0.7650689,0.14353625,0.004273152,0.0018397812,0.00013516816,0.00013633212,0.0018096688],"genre_scores_gemma":[0.8933131,0.000031579286,0.081689626,0.021172326,0.0012691603,0.00034168584,0.00044179158,0.000023636258,0.001717093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847704,0.000023390785,0.00056761206,0.000312894,0.0003249036,0.00029417546],"domain_scores_gemma":[0.9989653,0.00019058153,0.00009109956,0.00016437286,0.0004252451,0.00016339304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028784238,0.00012878544,0.00021061192,0.00039553462,0.000102250466,0.000031378535,0.00016812589,0.000052908938,0.00023110768],"category_scores_gemma":[0.00038459676,0.00012603878,0.00007333052,0.00030538492,0.000026010728,0.000090756526,0.00006680799,0.0001398084,0.000041059368],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023997984,0.000103878454,0.0060015316,0.00012959781,0.00010613386,0.000010777717,0.0007532791,0.00002288739,0.00089556,0.024669385,0.013204623,0.95386237],"study_design_scores_gemma":[0.003763919,0.003934932,0.06950496,0.0022361584,0.00031186696,0.00008589314,0.008389258,0.042122155,0.05090305,0.031088695,0.78672487,0.0009342414],"about_ca_topic_score_codex":0.0002650888,"about_ca_topic_score_gemma":0.0001485612,"teacher_disagreement_score":0.9529281,"about_ca_system_score_codex":0.00027905675,"about_ca_system_score_gemma":0.00028419055,"threshold_uncertainty_score":0.5139712},"labels":[],"label_agreement":null},{"id":"W4416039724","doi":"10.54941/ahfe1006972","title":"Promoting Autonomy in Older Adults with Cognitive Impairment: Co-Designing an Interactive Calendar for Memory Support","year":2025,"lang":"","type":"article","venue":"AHFE international","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Usability; Cognition; Dementia; Focus group; Process (computing); Likert scale; Autonomy; Cognitive reframing","score_opus":0.011369286558515877,"score_gpt":0.35165783092839054,"score_spread":0.34028854436987466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416039724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494504,0.000120618526,0.010355059,0.0019601025,0.00085173914,0.006982108,0.00083359744,0.00007932953,0.0293671],"genre_scores_gemma":[0.98624474,0.000026451891,0.00060217205,0.0010860199,0.0003794438,0.001632002,0.001218313,0.000062597035,0.0087482715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99564606,0.00026425204,0.0009659378,0.0011976347,0.0009513259,0.0009748072],"domain_scores_gemma":[0.9966062,0.0008381495,0.0003547128,0.00023164318,0.0016687966,0.00030050278],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013206345,0.0005309252,0.00059155707,0.0011432177,0.00022392593,0.00016111866,0.00042487634,0.00018302306,0.0035842312],"category_scores_gemma":[0.0003759411,0.0005070657,0.00019857577,0.00043020662,0.00031960232,0.00097165734,0.00018660694,0.0007886121,0.00007542482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.045178507,0.015357599,0.5863797,0.002116038,0.0054618847,0.0013739597,0.07883572,0.000009031925,0.0016517428,0.00050197943,0.0019678073,0.26116604],"study_design_scores_gemma":[0.088250145,0.014026705,0.6372575,0.028115146,0.0010522394,0.00018210217,0.10326358,0.030656807,0.09279263,0.0005703996,0.0023558922,0.0014768225],"about_ca_topic_score_codex":0.00016760139,"about_ca_topic_score_gemma":0.00009806924,"teacher_disagreement_score":0.2596892,"about_ca_system_score_codex":0.0011352656,"about_ca_system_score_gemma":0.0025772634,"threshold_uncertainty_score":0.9997381},"labels":[],"label_agreement":null},{"id":"W4416039733","doi":"10.54941/ahfe1006966","title":"Regulation of Artificial Intelligence in Healthcare – A Global View","year":2025,"lang":"","type":"article","venue":"AHFE international","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Health care; Cornerstone; Legislation; Globe; Autonomy; Best practice; Dilemma; Data Protection Act 1998","score_opus":0.13016324487245692,"score_gpt":0.4768617510970661,"score_spread":0.3466985062246092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416039733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56978226,0.015295899,0.0744516,0.26858804,0.038079124,0.0037235927,0.00030104083,0.00012274757,0.029655682],"genre_scores_gemma":[0.9946463,0.0013915618,0.00092444924,0.0015660694,0.0006753655,0.00005487781,0.000117415024,0.0000132567375,0.00061069184],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99570847,0.00020002396,0.0023515779,0.0006044164,0.0006666581,0.0004688452],"domain_scores_gemma":[0.9974142,0.0003486294,0.0004595507,0.00044691513,0.0011790993,0.00015160706],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009501158,0.00027972303,0.0005329164,0.00058937597,0.00009477957,0.000049365437,0.00043112415,0.0003757661,0.0010965966],"category_scores_gemma":[0.0012079901,0.0003160773,0.00018664863,0.0016033739,0.0002601845,0.00025189656,0.000116735566,0.0004397842,0.00019104699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005387201,0.0005960714,0.08766875,0.00046341983,0.00008401006,0.000006914024,0.0007374788,0.00027604043,0.0002710325,0.26723078,0.00045785756,0.6416689],"study_design_scores_gemma":[0.00019686375,0.00069755694,0.2707702,0.00876972,0.00018359991,0.00003603817,0.006209721,0.08805554,0.022846624,0.59277695,0.008820614,0.0006365757],"about_ca_topic_score_codex":0.008545281,"about_ca_topic_score_gemma":0.0030140216,"teacher_disagreement_score":0.64103234,"about_ca_system_score_codex":0.0014034272,"about_ca_system_score_gemma":0.0018493318,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W4416039755","doi":"10.54941/ahfe1006960","title":"Introducing the CARES Model: Integrating Artificial Intelligence, Medical Education, and Patient-Centered Care","year":2025,"lang":"","type":"article","venue":"AHFE international","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Curriculum; Core competency; Health care; Medical practice; Bridge (graph theory); Clinical Practice; Graduate medical education","score_opus":0.059818711875894215,"score_gpt":0.41315955894147705,"score_spread":0.35334084706558283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416039755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59206337,0.02910819,0.05261849,0.24855591,0.05408816,0.002655365,0.000084032676,0.00018401595,0.02064245],"genre_scores_gemma":[0.98447746,0.0013503359,0.0013601789,0.009322714,0.002383116,0.00017785965,0.00016792203,0.000036067093,0.0007243292],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9953984,0.00022969053,0.001806175,0.00090477057,0.0010985957,0.00056237413],"domain_scores_gemma":[0.9957719,0.0006321557,0.00036997674,0.00062559283,0.0022509426,0.00034943366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063610385,0.00043244197,0.00041670282,0.000538897,0.0007791785,0.000386503,0.00071189384,0.00040905218,0.0013315711],"category_scores_gemma":[0.0061720954,0.0003490232,0.00017605057,0.00062724244,0.0005743381,0.00031948843,0.00036599152,0.0011716608,0.0000739086],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014678032,0.00044348248,0.007986549,0.00016346332,0.0001643757,0.0000047373087,0.031990375,0.0005421489,0.00008713955,0.061265454,0.009450865,0.8877546],"study_design_scores_gemma":[0.00012462122,0.0004167984,0.00038350103,0.005327746,0.00039108493,0.000106225074,0.48027006,0.39370662,0.013307242,0.075748965,0.029466204,0.00075093843],"about_ca_topic_score_codex":0.0030200891,"about_ca_topic_score_gemma":0.0018332944,"teacher_disagreement_score":0.88700366,"about_ca_system_score_codex":0.0007263303,"about_ca_system_score_gemma":0.0059525426,"threshold_uncertainty_score":0.99989617},"labels":[],"label_agreement":null}]}