{"meta":{"query_hash":"80e8af9455e8","filters":{"venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/80e8af9455e8","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+IEEE+Conference+on+Virtual+Reality+and+3D+User+Interfaces+Abstracts+and+Workshops+%28VRW%29"},"results":[{"id":"W4224226612","doi":"10.1109/vrw55335.2022.00139","title":"Understanding Shoulder Surfer Behavior Using Virtual Reality","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction","score_opus":0.20599261599473356,"score_gpt":0.34636440648351563,"score_spread":0.14037179048878207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224226612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977848,0.0005059904,0.016829135,0.00020239943,0.000009237047,0.00008102376,0.00013982678,0.00012420214,0.0042600925],"genre_scores_gemma":[0.993782,0.0003240347,0.0051429905,0.000050257528,0.0000069920843,0.00004373801,0.00008046355,0.0000066767884,0.00056289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936825,0.00030379335,0.0000438847,0.00009835459,0.00010872128,0.000076992954],"domain_scores_gemma":[0.9967487,0.0016225033,0.0010048421,0.00016385778,0.0003040455,0.00015598825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006806263,0.00048014958,0.00029496444,0.0009265088,0.00026506395,0.0012289335,0.00031780588,0.00076880853,0.0016041679],"category_scores_gemma":[0.0062603517,0.00023051859,0.0002559271,0.00027579113,0.00033632538,0.0013495396,0.0006552703,0.000343663,0.0004923766],"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":[0.00096478674,0.0014074844,0.5692159,0.0015920826,0.00033359966,0.0016347235,0.061672278,0.007163279,0.1043489,0.0031508077,0.0027868284,0.24572934],"study_design_scores_gemma":[0.00007806111,0.004049124,0.86820364,0.0005375133,0.00033835068,0.003254267,0.051977865,0.04256576,0.011617858,0.004284247,0.012862862,0.00023051364],"about_ca_topic_score_codex":0.0012421558,"about_ca_topic_score_gemma":0.0016786349,"teacher_disagreement_score":0.0016041679,"about_ca_system_score_codex":0.00014363698,"about_ca_system_score_gemma":0.00018176647,"threshold_uncertainty_score":0.005366504},"labels":[],"label_agreement":null},{"id":"W4224228033","doi":"10.1109/vrw55335.2022.00093","title":"Design requirements to improve laparoscopy via XR","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Augmented Reality Applications","field":"Computer Science","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":"University of Toronto","funders":"","keywords":"Computer science; Laparoscopy; Medicine; Surgery","score_opus":0.061076516519351164,"score_gpt":0.3109146072366149,"score_spread":0.24983809071726373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224228033","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025520291,0.00036833232,0.95954114,0.00064519304,0.00007295425,0.0009118538,0.00015180037,0.0021715043,0.010616988],"genre_scores_gemma":[0.17076837,0.0004426806,0.81674,0.0002896384,0.000037152782,0.0013565068,0.00041857554,0.0007830409,0.009164175],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920813,0.0031601693,0.00097357697,0.00059083325,0.0026082352,0.0005858782],"domain_scores_gemma":[0.9870423,0.004365209,0.0014403122,0.0016184743,0.0052305656,0.000303171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006264406,0.0019604305,0.00076473056,0.00094858656,0.0005696285,0.0024375117,0.002254375,0.0016337227,0.008015079],"category_scores_gemma":[0.020024255,0.0011134344,0.0011706197,0.00037764618,0.0006583165,0.003085494,0.0015651642,0.0010181919,0.0034824926],"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":[0.0011195833,0.0006230873,0.009957517,0.006798532,0.00023138504,0.0015713789,0.0045200735,0.101358585,0.31473014,0.052283652,0.0108836675,0.49592248],"study_design_scores_gemma":[0.0006423985,0.0050754193,0.015497705,0.0017668075,0.0010347976,0.0040047043,0.0030501185,0.4941167,0.21886228,0.024714103,0.23087728,0.00035767618],"about_ca_topic_score_codex":0.0014704072,"about_ca_topic_score_gemma":0.0015530133,"teacher_disagreement_score":0.008015079,"about_ca_system_score_codex":0.0006191319,"about_ca_system_score_gemma":0.001102733,"threshold_uncertainty_score":0.03312975},"labels":[],"label_agreement":null},{"id":"W4224230187","doi":"10.1109/vrw55335.2022.00196","title":"VR-based Context Priming to Increase Student Engagement and Academic Performance","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Context (archaeology); Priming (agriculture); Computer science; Student engagement; Multimedia; Human–computer interaction; Mathematics education; Psychology; History","score_opus":0.084535944096088,"score_gpt":0.33045375155677836,"score_spread":0.24591780746069036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224230187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796388,0.0007296164,0.0074864067,0.00019233438,0.0002157217,0.00046803875,0.000055256703,0.00022389683,0.010989863],"genre_scores_gemma":[0.985322,0.00044370722,0.010872833,0.00020070777,0.00008096885,0.00051173207,0.000049454546,0.000051393807,0.0024672132],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99910057,0.00045061676,0.00004062184,0.00022867323,0.0001066937,0.00007283612],"domain_scores_gemma":[0.9963994,0.0026672923,0.00030339882,0.00022767515,0.00010458658,0.00029765884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010167569,0.0003539459,0.0003319577,0.00018323533,0.00025821116,0.000688444,0.00032449802,0.00047439846,0.011027087],"category_scores_gemma":[0.006776812,0.0002136613,0.00019220568,0.00014010261,0.00036511142,0.00060194865,0.0009532134,0.00053163356,0.0005540105],"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":[0.023289554,0.02416753,0.012022201,0.003461915,0.0001624283,0.00046523556,0.0075004054,0.001587985,0.52162313,0.012246315,0.0025866136,0.39088663],"study_design_scores_gemma":[0.013658345,0.2292583,0.34165633,0.0012715571,0.0012482741,0.0019731184,0.0038794025,0.008339109,0.31523097,0.0239742,0.05917377,0.0003365774],"about_ca_topic_score_codex":0.00010006439,"about_ca_topic_score_gemma":0.00013669794,"teacher_disagreement_score":0.011027087,"about_ca_system_score_codex":0.0001423941,"about_ca_system_score_gemma":0.00029051155,"threshold_uncertainty_score":0.036889315},"labels":[],"label_agreement":null},{"id":"W4224272151","doi":"10.1109/vrw55335.2022.00201","title":"Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Convolutional neural network; Frame rate; Convolution (computer science); Frame (networking); Overhead (engineering); Graph; Convolutional code; Parallel computing; Algorithm; Real-time computing; Computer engineering; Artificial neural network; Artificial intelligence; Theoretical computer science; Decoding methods; Operating system; Computer network","score_opus":0.026382729704023885,"score_gpt":0.2702927637904058,"score_spread":0.2439100340863819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224272151","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08243411,0.0005393393,0.8963883,0.00023463306,0.00022543747,0.0001242895,0.0001774862,0.013445521,0.0064309454],"genre_scores_gemma":[0.5642386,0.00028492085,0.42536536,0.00014911011,0.00004002027,0.00014699661,0.0005205234,0.00095846795,0.00829604],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978095,0.000027954116,0.000016205131,0.00005182008,0.0000719817,0.00005104501],"domain_scores_gemma":[0.9995753,0.00012955957,0.000032555417,0.00013643042,0.00009748494,0.000028674325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025811789,0.0010140602,0.00023697165,0.00023350892,0.00020280085,0.0005400636,0.001342551,0.00028840374,0.007615244],"category_scores_gemma":[0.00094391237,0.0003294657,0.00032800745,0.00024813475,0.00024629696,0.0008365334,0.0005391044,0.0006828129,0.0010982606],"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":[0.0010069932,0.000275637,0.001849308,0.00048774143,0.00016755308,0.00051710044,0.00022228826,0.18282703,0.34812105,0.010630824,0.012525197,0.44136932],"study_design_scores_gemma":[0.00003601213,0.00021493607,0.0007278738,0.000022543147,0.000040835977,0.00010623619,0.000032177853,0.8381278,0.14617924,0.0026727205,0.011812846,0.00002679895],"about_ca_topic_score_codex":0.00603022,"about_ca_topic_score_gemma":0.0106049,"teacher_disagreement_score":0.007615244,"about_ca_system_score_codex":0.00062691525,"about_ca_system_score_gemma":0.00084764324,"threshold_uncertainty_score":0.025475502},"labels":[],"label_agreement":null},{"id":"W4224274106","doi":"10.1109/vrw55335.2022.00142","title":"Multi-Touch Smartphone-Based Progressive Refinement VR Selection","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Selection (genetic algorithm); Gesture; Object (grammar); Computer graphics (images); Controller (irrigation); Artificial intelligence; Human–computer interaction; Computer vision","score_opus":0.04479860687999125,"score_gpt":0.30091647286588197,"score_spread":0.2561178659858907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224274106","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07016785,0.0010473364,0.9041988,0.00016856511,0.00023594708,0.00065746857,0.00043402982,0.009597605,0.0134923225],"genre_scores_gemma":[0.3980801,0.0007163069,0.5825287,0.00031669886,0.000080648104,0.0004356948,0.00064329157,0.0006451384,0.016553443],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992736,0.00008952816,0.00004713108,0.00014000067,0.00037804295,0.00007166346],"domain_scores_gemma":[0.99920744,0.00026936433,0.0000522785,0.00019440961,0.00021906664,0.000057440415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004127385,0.00067841675,0.00047961142,0.00054216274,0.00020432427,0.0005273148,0.0015089946,0.00058948796,0.013692357],"category_scores_gemma":[0.0013125326,0.0003964493,0.00060953933,0.00035667553,0.0002518028,0.00072454294,0.0010750772,0.00050856714,0.002369617],"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":[0.0005263874,0.00019770332,0.0013904723,0.0006746748,0.00006615491,0.00074828445,0.0005294358,0.0035866823,0.52691317,0.002697576,0.0077203866,0.45494914],"study_design_scores_gemma":[0.00060323015,0.0038348213,0.02051357,0.00025614625,0.00031257764,0.0071104253,0.0003693938,0.21166252,0.5663963,0.0016982409,0.18667121,0.0005716221],"about_ca_topic_score_codex":0.0022232642,"about_ca_topic_score_gemma":0.003338936,"teacher_disagreement_score":0.013692357,"about_ca_system_score_codex":0.00023113658,"about_ca_system_score_gemma":0.00028329447,"threshold_uncertainty_score":0.045805454},"labels":[],"label_agreement":null},{"id":"W4224276951","doi":"10.1109/vrw55335.2022.00043","title":"Extended Reality and Internet of Things for Hyper-Connected Metaverse Environments","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design","funders":"Canada Research Chairs","keywords":"Metaverse; Computer science; Interoperability; Human–computer interaction; Virtual reality; The Internet; Mixed reality; Augmented reality; Smart objects; World Wide Web; Multimedia","score_opus":0.05115597301604647,"score_gpt":0.28973909818444776,"score_spread":0.2385831251684013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224276951","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0148589155,0.0025089525,0.8508961,0.0029475417,0.0010305882,0.00015062359,0.00011893554,0.0011038617,0.1263844],"genre_scores_gemma":[0.4195854,0.0048546866,0.5243205,0.0015678825,0.00044331246,0.0004504938,0.0004696604,0.00049832166,0.04780983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987785,0.00044532382,0.000069226386,0.00015984225,0.000417198,0.00012987774],"domain_scores_gemma":[0.9992021,0.00022157229,0.000051314906,0.0002900538,0.00012924924,0.0001056833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015039587,0.0006425394,0.00037269897,0.0006540377,0.001424536,0.0058550905,0.0013236287,0.0025759365,0.007140122],"category_scores_gemma":[0.0020428405,0.0003703008,0.0010572588,0.0006448725,0.0026506635,0.008305474,0.005890521,0.0028741427,0.0017177607],"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":[0.000025638325,0.000026946078,0.00014715981,0.000118820826,0.000016506841,0.00038135855,0.0008050449,0.0023031896,0.0027433645,0.9705082,0.002203548,0.020720305],"study_design_scores_gemma":[0.000031492535,0.0001648936,0.0005872498,0.00045068338,0.000060471517,0.0018397678,0.0016296408,0.035844684,0.0072700037,0.52567244,0.42635092,0.000097828815],"about_ca_topic_score_codex":0.000710602,"about_ca_topic_score_gemma":0.0013921361,"teacher_disagreement_score":0.007140122,"about_ca_system_score_codex":0.0006809575,"about_ca_system_score_gemma":0.0008125849,"threshold_uncertainty_score":0.023886085},"labels":[],"label_agreement":null},{"id":"W4224289222","doi":"10.1109/vrw55335.2022.00069","title":"IMPReSS: Improved Multi-Touch Progressive Refinement Selection Strategy","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Interactive and Immersive Displays","field":"Computer Science","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":"Carleton University","funders":"","keywords":"Computer science; Selection (genetic algorithm); Artificial intelligence; Human–computer interaction","score_opus":0.045543643867676835,"score_gpt":0.30695193268161125,"score_spread":0.2614082888139344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224289222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054751407,0.00073980825,0.93007296,0.00009535145,0.000098168864,0.00023816992,0.00022513483,0.007899532,0.0058794576],"genre_scores_gemma":[0.27055407,0.00039568695,0.7187842,0.0001985681,0.00003575185,0.00018549347,0.00048456562,0.00050067954,0.008860985],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932945,0.00007975071,0.000046550926,0.00012004285,0.00036125458,0.00006302883],"domain_scores_gemma":[0.99935085,0.00024766242,0.000043583266,0.00015110438,0.0001579827,0.000048812897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004413114,0.00082668016,0.000706906,0.00069569744,0.00023830643,0.00050236954,0.0017513703,0.0005644017,0.008017931],"category_scores_gemma":[0.0012627527,0.00047778463,0.00069497846,0.00047683824,0.00029263395,0.0010022789,0.0011552145,0.00060351496,0.001538785],"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":[0.0005733181,0.00020841755,0.0012640592,0.00053457567,0.00006666948,0.00070695515,0.00061245874,0.005871508,0.40712872,0.0037247133,0.006077042,0.5732315],"study_design_scores_gemma":[0.00042582146,0.002528216,0.011309667,0.00013521619,0.00027424924,0.0061490485,0.00045850294,0.45393464,0.43823245,0.002415856,0.083731465,0.00040481266],"about_ca_topic_score_codex":0.0019993961,"about_ca_topic_score_gemma":0.00325586,"teacher_disagreement_score":0.008017931,"about_ca_system_score_codex":0.00020090415,"about_ca_system_score_gemma":0.00029649993,"threshold_uncertainty_score":0.026822627},"labels":[],"label_agreement":null},{"id":"W4224289369","doi":"10.1109/vrw55335.2022.00173","title":"Designing a Mixed Reality System for Exploring Genetic Mutation Data of Cancer Patients","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Augmented Reality Applications","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":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mutation; Genomics; Genetic data; Cancer; Variety (cybernetics); Computer science; Computational biology; Data science; Bioinformatics; Biology; Genetics; Medicine; Genome; Artificial intelligence; Gene","score_opus":0.1449299454971494,"score_gpt":0.3284379344701788,"score_spread":0.18350798897302942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224289369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07956541,0.0004739655,0.8869985,0.001059042,0.00021345053,0.0009785081,0.0021717101,0.022505114,0.0060342755],"genre_scores_gemma":[0.37518156,0.00050295703,0.6154915,0.000915411,0.00008775218,0.0015397121,0.0018204123,0.00062049,0.0038401887],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991001,0.00035215198,0.00007205998,0.00020408479,0.00018938351,0.000082217586],"domain_scores_gemma":[0.9983315,0.0009099676,0.00010000407,0.00020263431,0.00023370983,0.0002222209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015766699,0.0010088,0.0009163705,0.0009368316,0.0004810418,0.0019116583,0.0017620283,0.001469648,0.007366683],"category_scores_gemma":[0.0046424055,0.0007307575,0.00085064553,0.0005551719,0.0003583167,0.001195856,0.0026623558,0.0007693527,0.0016423255],"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":[0.0062426017,0.0019241105,0.031035407,0.0024145423,0.0011486934,0.0059344685,0.012062147,0.04505167,0.2068307,0.010056335,0.042992473,0.63430685],"study_design_scores_gemma":[0.0010517174,0.0042645605,0.025049267,0.00042236186,0.0011206416,0.0066637956,0.0038441343,0.7231255,0.093903095,0.019508341,0.12024631,0.00080024934],"about_ca_topic_score_codex":0.0013472018,"about_ca_topic_score_gemma":0.0018688365,"teacher_disagreement_score":0.007366683,"about_ca_system_score_codex":0.0003462868,"about_ca_system_score_gemma":0.00058049604,"threshold_uncertainty_score":0.024644017},"labels":[],"label_agreement":null},{"id":"W4224292737","doi":"10.1109/vrw55335.2022.00017","title":"Excite-O-Meter: an Open-Source Unity Plugin to Analyze Heart Activity and Movement Trajectories in Custom VR Environments","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Mental Health Research Topics","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plug-in; Computer science; Visualization; Session (web analytics); Open source; Movement (music); Human–computer interaction; Relevance (law); Data visualization; Metre; Feature (linguistics); Motion (physics); Feature extraction; Computer vision; Artificial intelligence; Software; World Wide Web","score_opus":0.09966917365090251,"score_gpt":0.39369466368927075,"score_spread":0.29402549003836825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224292737","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02294558,0.0005896737,0.6158017,0.0001694502,0.00020381006,0.00049031765,0.0058477437,0.34892574,0.0050260406],"genre_scores_gemma":[0.428384,0.0009138345,0.453037,0.0008134047,0.00020384377,0.0024880855,0.018266942,0.06534606,0.03054676],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996024,0.000045436787,0.000034363162,0.000103624465,0.00015784126,0.0000564147],"domain_scores_gemma":[0.9993104,0.0003788254,0.000058548645,0.00009518231,0.00006633861,0.00009072188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045789656,0.0012950099,0.000755761,0.0011665729,0.00020304232,0.000912859,0.0017383073,0.0008354166,0.022471884],"category_scores_gemma":[0.0027225022,0.00063349423,0.0008569407,0.00048140396,0.0003302925,0.00090261997,0.0024469818,0.0007429354,0.004793606],"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":[0.0045303195,0.0004901784,0.010816778,0.0027316075,0.00070546864,0.0020249782,0.002218278,0.01071028,0.17435145,0.0061705746,0.1133009,0.67194915],"study_design_scores_gemma":[0.0016495462,0.0014505413,0.0934194,0.0006622076,0.00066313474,0.0068074875,0.00061322626,0.24817505,0.22649863,0.013710441,0.40506613,0.0012841527],"about_ca_topic_score_codex":0.00089680176,"about_ca_topic_score_gemma":0.0013873072,"teacher_disagreement_score":0.022471884,"about_ca_system_score_codex":0.00020286061,"about_ca_system_score_gemma":0.0004059635,"threshold_uncertainty_score":0.07517588},"labels":[],"label_agreement":null},{"id":"W4224303193","doi":"10.1109/vrw55335.2022.00247","title":"Perception of Symmetry of Actual and Modulated Self-Avatar Gait Movements During Treadmill Walking","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","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 de Montréal; École de Technologie Supérieure","funders":"","keywords":"Avatar; Illusion; Perception; Gait; Treadmill; Psychology; Virtual reality; Physical medicine and rehabilitation; Computer vision; Computer science; Cognitive psychology; Artificial intelligence; Human–computer interaction; Physical therapy; Medicine","score_opus":0.027387681746876252,"score_gpt":0.27381523459192864,"score_spread":0.24642755284505238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224303193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979044,0.000034467907,0.0014667005,0.00001183812,0.000005819056,0.000010692678,0.000032427928,0.000014533627,0.0005191139],"genre_scores_gemma":[0.9991009,0.000019542302,0.0005412653,0.000010008893,0.0000026300863,0.0000073154592,0.000039332193,0.0000033257777,0.0002756812],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978095,0.000065684064,0.000019345236,0.000057247078,0.000049356422,0.000027482989],"domain_scores_gemma":[0.9994222,0.00024775925,0.00011283795,0.00003578953,0.00009856404,0.000082910476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030593667,0.00015713631,0.0001705074,0.0002262231,0.00005962978,0.0004094431,0.00012520146,0.0003572881,0.0018468624],"category_scores_gemma":[0.0026451955,0.00008319411,0.00010467905,0.000050825958,0.00020954556,0.00027848463,0.0003107361,0.00015411718,0.00014111002],"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":[0.0053281966,0.00026152757,0.05218519,0.00030595477,0.00009847228,0.00043108594,0.003009718,0.00095722044,0.892337,0.00067164266,0.00038330263,0.044030618],"study_design_scores_gemma":[0.00012314739,0.003475366,0.9293244,0.000057204008,0.000115748735,0.0013048124,0.0021459626,0.009006838,0.053107794,0.00058590143,0.0007011332,0.00005170234],"about_ca_topic_score_codex":0.0003844929,"about_ca_topic_score_gemma":0.000260877,"teacher_disagreement_score":0.0018468624,"about_ca_system_score_codex":0.00007188007,"about_ca_system_score_gemma":0.00006117687,"threshold_uncertainty_score":0.0061783195},"labels":[],"label_agreement":null}]}