{"meta":{"query_hash":"1fb219612ff5","filters":{"venue":"at - Automatisierungstechnik"},"cohort_total":9,"direct_labels_cover":0,"predictions_cover":9,"exported":9,"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/1fb219612ff5","api":"https://metacan.xera.ac/api/v1/cohort?venue=at+-+Automatisierungstechnik"},"results":[{"id":"W2554251687","doi":"10.1515/auto-2016-0066","title":"Ein softwarebasierter Patientensimulator zur Evaluierung medizinischer Entscheidungssysteme","year":2016,"lang":"de","type":"article","venue":"at - Automatisierungstechnik","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","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":"University of Alberta","funders":"","keywords":"Gynecology; Medicine; Physics","score_opus":0.04016752602708593,"score_gpt":0.3586103014350296,"score_spread":0.31844277540794363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554251687","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":[0.16656943,0.00040282935,0.8199167,0.00039071887,0.00016973891,0.00051402295,0.0008162711,0.0075802635,0.0036400307],"genre_scores_gemma":[0.63038486,0.00022931257,0.36585218,0.000102718885,0.0000247242,0.000697764,0.00066853134,0.00035308205,0.0016867678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981724,0.0010003527,0.0001394176,0.0001919537,0.00042196544,0.00007391072],"domain_scores_gemma":[0.9945667,0.0033774313,0.00035398142,0.00046030365,0.0010364045,0.00020525792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032512704,0.0011826662,0.0007659321,0.0011067684,0.00036393947,0.0014173716,0.00079190504,0.0007659661,0.0043738894],"category_scores_gemma":[0.00824121,0.00045065588,0.00068471045,0.00074214005,0.00033684055,0.00077698455,0.0008354361,0.0008979778,0.0007034853],"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":[0.0014655527,0.00046998804,0.007667495,0.00038085517,0.00016259508,0.00010553085,0.00024721582,0.80376357,0.016189935,0.003741374,0.0026191787,0.16318665],"study_design_scores_gemma":[0.0000738346,0.000254072,0.00079189887,0.00002867232,0.000038437716,0.000034203942,0.000031455147,0.9851372,0.010109911,0.0015453896,0.0019319674,0.000022914373],"about_ca_topic_score_codex":0.0024227535,"about_ca_topic_score_gemma":0.0013595802,"teacher_disagreement_score":0.0043738894,"about_ca_system_score_codex":0.00074690714,"about_ca_system_score_gemma":0.0017496811,"threshold_uncertainty_score":0.01719457},"labels":[],"label_agreement":null},{"id":"W2794732600","doi":"10.1515/auto-2017-0062","title":"Applications of observers in medical robotics","year":2018,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Robotics; Artificial intelligence; Computer science; Robot","score_opus":0.007747688635218817,"score_gpt":0.24503728739757624,"score_spread":0.23728959876235742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794732600","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030645647,0.0028339291,0.9869234,0.0003278535,0.00021028875,0.000031094685,0.000019371348,0.00019042447,0.0063990667],"genre_scores_gemma":[0.7373999,0.007840019,0.24089779,0.0006037265,0.00087344146,0.00025750374,0.00012859805,0.00009922126,0.011899758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984944,0.0006894664,0.00008613453,0.00024991547,0.0004313427,0.000048628757],"domain_scores_gemma":[0.9983021,0.0009990883,0.00015714137,0.00016423214,0.00030984447,0.000067556466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012940371,0.00070666417,0.00064317207,0.0007524284,0.0002530864,0.0010413894,0.0004467998,0.001146267,0.0016365959],"category_scores_gemma":[0.0035931144,0.00029081138,0.00062378653,0.00040166825,0.0016053085,0.00071480655,0.0014936286,0.0015238901,0.00048262838],"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":[0.00022403857,0.00009091743,0.0014543931,0.0008743615,0.00014440986,0.00039883467,0.0004389479,0.20648645,0.034467272,0.5675346,0.0034460025,0.18443984],"study_design_scores_gemma":[0.00004210354,0.0003970967,0.0008563039,0.00020072267,0.000044255274,0.00030638967,0.00009477995,0.70010716,0.010188217,0.2565221,0.03116296,0.00007793829],"about_ca_topic_score_codex":0.00084893743,"about_ca_topic_score_gemma":0.00030023197,"teacher_disagreement_score":0.0016365959,"about_ca_system_score_codex":0.0005157455,"about_ca_system_score_gemma":0.00042379124,"threshold_uncertainty_score":0.006843567},"labels":[],"label_agreement":null},{"id":"W2795149560","doi":"10.1515/auto-2017-0056","title":"Invariant observer design for scan matching-aided localization: A tutorial","year":2018,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Invariant (physics); Observer (physics); Kalman filter; Robotics; Computer science; Control theory (sociology); Alpha beta filter; Artificial intelligence; Invariant extended Kalman filter; Extended Kalman filter; Control engineering; Computer vision; Mathematics; Engineering; Moving horizon estimation; Robot","score_opus":0.02197260268797617,"score_gpt":0.2324021744426609,"score_spread":0.21042957175468474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795149560","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":[0.00033448712,0.0028830026,0.9944019,0.000058236285,0.00008665495,0.000022929702,0.000018732748,0.00012059049,0.0020734128],"genre_scores_gemma":[0.07818961,0.043379486,0.84936523,0.00028927682,0.0010539701,0.0005136929,0.0005378191,0.0002087726,0.02646207],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972016,0.000058563714,0.000030337866,0.00005989491,0.00011799908,0.000013030086],"domain_scores_gemma":[0.999765,0.00010078155,0.000022451874,0.000022283271,0.00008428801,0.0000053302356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006472101,0.0007707077,0.0005620284,0.00057556544,0.00013899061,0.00071070355,0.00057718524,0.0009025387,0.0035807923],"category_scores_gemma":[0.00090798945,0.0004235053,0.0006299636,0.00064506003,0.0004891768,0.0011196,0.00047661332,0.0012359681,0.0020659303],"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":[0.00007309235,0.00009778226,0.000413182,0.0020275433,0.00009514113,0.00026221474,0.0002809491,0.104158424,0.031141987,0.2665474,0.011351127,0.5835512],"study_design_scores_gemma":[0.000038717746,0.0005950395,0.000919276,0.00046991042,0.00009541034,0.0006217347,0.00008577808,0.57357174,0.02011031,0.11240963,0.2909707,0.0001117599],"about_ca_topic_score_codex":0.0009052981,"about_ca_topic_score_gemma":0.0007122878,"teacher_disagreement_score":0.0035807923,"about_ca_system_score_codex":0.0003976196,"about_ca_system_score_gemma":0.0004075776,"threshold_uncertainty_score":0.011978924},"labels":[],"label_agreement":null},{"id":"W2795336556","doi":"10.1515/auto-2017-0082","title":"Observer design for monocular visual inertial SLAM","year":2018,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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 Alberta","funders":"","keywords":"Observer (physics); Computer vision; Artificial intelligence; Monocular; Inertial frame of reference; Computer science; Simultaneous localization and mapping; Robot; Physics; Mobile robot","score_opus":0.01835193234514886,"score_gpt":0.2442898452361332,"score_spread":0.22593791289098433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795336556","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":[0.004239168,0.000083844156,0.994323,0.000036136247,0.000031456017,0.00001842866,0.000022053167,0.00017786394,0.0010680826],"genre_scores_gemma":[0.9206341,0.0001900681,0.07429044,0.00007326492,0.000048844813,0.00020458257,0.00011579824,0.0000341549,0.0044086752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995308,0.00011428918,0.000025857687,0.00011212225,0.00016737934,0.000049559454],"domain_scores_gemma":[0.9994673,0.00014228463,0.00012523866,0.00005795156,0.0001900532,0.000017252953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000695301,0.00050154777,0.00053327,0.00024659303,0.00023066017,0.00064964377,0.0005598574,0.00060836924,0.0022054864],"category_scores_gemma":[0.001576242,0.0002440787,0.0003020476,0.00021633624,0.00043638807,0.0004326828,0.00071486476,0.0005817999,0.0006149591],"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":[0.00033023398,0.000067080546,0.0010725305,0.00042893042,0.0000763751,0.00020213769,0.00029452992,0.7749577,0.038141564,0.020602908,0.0026686375,0.16115743],"study_design_scores_gemma":[0.000024977793,0.00012546591,0.00026716333,0.000011918415,0.000008287719,0.000017577591,0.0000124421695,0.9929349,0.0032704533,0.0016931086,0.0016264401,0.000007204575],"about_ca_topic_score_codex":0.0033854079,"about_ca_topic_score_gemma":0.0028158473,"teacher_disagreement_score":0.0033854079,"about_ca_system_score_codex":0.00047081563,"about_ca_system_score_gemma":0.00058918947,"threshold_uncertainty_score":0.0073781013},"labels":[],"label_agreement":null},{"id":"W3084227044","doi":"10.1515/auto-2020-0067","title":"Economic power control for offshore wind farms with loop connection cables","year":2020,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Islanding Detection in Power Systems","field":"Engineering","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":"Offshore wind power; Wind power; Turbine; Engineering; Electric power system; Marine engineering; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.006464210142438499,"score_gpt":0.1954273710870928,"score_spread":0.1889631609446543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084227044","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":[0.14679804,0.00016882521,0.8418282,0.00015898095,0.000042325977,0.000111484536,0.00010958607,0.00033084775,0.010451636],"genre_scores_gemma":[0.98157424,0.000057191184,0.016027685,0.000010628553,0.000010937449,0.000046730016,0.000042929994,0.000018435687,0.002211197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998035,0.000061442726,0.000008390376,0.000037719747,0.000052586136,0.000036523514],"domain_scores_gemma":[0.9995573,0.00028255564,0.000060447233,0.000015476991,0.00006374973,0.000020505207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005031756,0.0005229418,0.0003823721,0.00034825582,0.00019150124,0.00074965967,0.00046587674,0.00036561824,0.002285185],"category_scores_gemma":[0.0012886751,0.00017109956,0.00021747351,0.00033732355,0.0003922326,0.00037383463,0.00047080443,0.00042642915,0.00014764574],"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":[0.00005703918,0.000019319848,0.00027743788,0.000020706031,0.000010226435,0.00003821775,0.00001006955,0.9854661,0.0010160545,0.0023841467,0.00022568901,0.01047499],"study_design_scores_gemma":[0.0000064907035,0.000015797797,0.00008524707,0.0000012267631,0.0000013970515,0.000002501845,0.000002280527,0.99903846,0.00020976047,0.0005028021,0.0001328137,0.0000011430512],"about_ca_topic_score_codex":0.005174529,"about_ca_topic_score_gemma":0.0035994176,"teacher_disagreement_score":0.005174529,"about_ca_system_score_codex":0.0006870401,"about_ca_system_score_gemma":0.00036507647,"threshold_uncertainty_score":0.010288775},"labels":[],"label_agreement":null},{"id":"W3109963969","doi":"10.1515/auto-2020-0072","title":"Artificial intelligence and optimization: a way to speed up the security constraint optimal power flow","year":2020,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Power System Optimization and Stability","field":"Engineering","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":"Polytechnique Montréal","funders":"","keywords":"Mathematical optimization; Constraint (computer-aided design); Computer science; Power flow; Electric power system; Power (physics); Artificial neural network; Optimization problem; Flow (mathematics); Mathematics; Artificial intelligence","score_opus":0.017913334232939497,"score_gpt":0.2296009385013358,"score_spread":0.2116876042683963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109963969","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":[0.012526144,0.0003909018,0.97997105,0.00035763433,0.000092395814,0.00002643307,0.000015139998,0.00039390833,0.0062262914],"genre_scores_gemma":[0.28274187,0.0005680879,0.7115279,0.00014448761,0.00013813202,0.000092511495,0.000036908186,0.00016087799,0.004589268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999741,0.000111710855,0.00001044339,0.000029964063,0.000088255765,0.000018527626],"domain_scores_gemma":[0.99955815,0.0002787398,0.000045671757,0.00004973102,0.000057009067,0.000010745183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006468851,0.00053445564,0.0005030653,0.00060565275,0.0002735508,0.0006096358,0.00037716946,0.00052014575,0.0029347497],"category_scores_gemma":[0.0018611028,0.000267777,0.0003764988,0.00048583446,0.00064704724,0.00076508406,0.00062154623,0.0010649231,0.0004949487],"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":[0.00013496814,0.00006775631,0.00042287362,0.00014213056,0.000053760967,0.00010591196,0.000088083296,0.6933726,0.012295199,0.09788997,0.0029419244,0.19248489],"study_design_scores_gemma":[0.000011295211,0.000020984051,0.00010717202,0.000012475979,0.000004551282,0.000020758458,0.000003990918,0.9832305,0.0016012457,0.012475106,0.0025077383,0.0000042221614],"about_ca_topic_score_codex":0.001311393,"about_ca_topic_score_gemma":0.0011091458,"teacher_disagreement_score":0.0029347497,"about_ca_system_score_codex":0.00026671504,"about_ca_system_score_gemma":0.0004508946,"threshold_uncertainty_score":0.009817719},"labels":[],"label_agreement":null},{"id":"W4407058311","doi":"10.1515/auto-2024-0036","title":"Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems","year":2025,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Poul Due Jensens Fond","keywords":"Replica; Computer science; Physical system; Representation (politics); Property (philosophy); Focus (optics)","score_opus":0.021801567606551133,"score_gpt":0.25890415106939413,"score_spread":0.237102583462843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407058311","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":[0.086386584,0.00015229253,0.9108802,0.000115601986,0.000024464014,0.000022318009,0.000012224141,0.00021277307,0.002193489],"genre_scores_gemma":[0.94036186,0.00007305672,0.05904555,0.000024881272,0.000010937005,0.000019915688,0.000013022122,0.000034600766,0.00041609895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887997,0.00036690896,0.000073321564,0.00017507546,0.00041054684,0.00009409631],"domain_scores_gemma":[0.9979048,0.0010890717,0.00034927286,0.00029667857,0.00026441348,0.000095812626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023096313,0.00076653744,0.00081585563,0.00094098016,0.000580103,0.0013480843,0.0006819512,0.0007074222,0.0009660195],"category_scores_gemma":[0.0068741124,0.00030243665,0.00052539527,0.0005949668,0.0013009803,0.0022360522,0.0027692427,0.00082778605,0.00014774433],"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":[0.00019374143,0.000066029126,0.0021879487,0.00008314339,0.00005963591,0.000117394746,0.00027088317,0.8812744,0.027485995,0.029586209,0.00018336704,0.058491163],"study_design_scores_gemma":[0.0000039696492,0.00008845204,0.0003023469,0.000008008267,0.000016889853,0.00003140768,0.00003138612,0.9844558,0.0062221675,0.008368347,0.0004556309,0.000015597518],"about_ca_topic_score_codex":0.0011173722,"about_ca_topic_score_gemma":0.0007919046,"teacher_disagreement_score":0.0023096313,"about_ca_system_score_codex":0.0007685115,"about_ca_system_score_gemma":0.00057179533,"threshold_uncertainty_score":0.012214661},"labels":[],"label_agreement":null},{"id":"W4413989568","doi":"10.1515/auto-2024-0108","title":"Advancements in intelligent wheelchairs: a scoping review","year":2025,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Gaze Tracking and Assistive Technology","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":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Computer science","score_opus":0.012203451425737939,"score_gpt":0.3220853311019943,"score_spread":0.30988187967625636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413989568","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002434776,0.9987815,0.00010219393,0.00026404177,0.00013145231,0.00003959888,0.00005918294,0.0000034907098,0.00037495367],"genre_scores_gemma":[0.0019102775,0.99740785,0.00020281613,0.00018930378,0.000064116684,0.00006443145,0.00006309924,0.000002266845,0.000095841395],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99604505,0.0008569955,0.0017080619,0.00029867713,0.0009351463,0.00015601318],"domain_scores_gemma":[0.96989566,0.021588365,0.003823766,0.00033215768,0.004039083,0.00032092637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007018565,0.0012388964,0.003200085,0.02129397,0.000886216,0.0035370777,0.0015635905,0.0023502023,0.003738378],"category_scores_gemma":[0.026444972,0.0010405623,0.003517681,0.020393092,0.0010865083,0.0035272997,0.001722036,0.0014309317,0.00072821137],"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":[0.000119867014,0.00004593108,0.0007499136,0.6924027,0.0010691474,0.00029692988,0.00076531136,0.00030798564,0.00035574235,0.0017000095,0.00788758,0.2942989],"study_design_scores_gemma":[0.000017989829,0.000080128106,0.0015124632,0.90108776,0.003395691,0.00044132458,0.0005052783,0.00008441974,0.00018849988,0.000606185,0.09205602,0.000024193674],"about_ca_topic_score_codex":0.0077063055,"about_ca_topic_score_gemma":0.015451651,"teacher_disagreement_score":0.02129397,"about_ca_system_score_codex":0.002837647,"about_ca_system_score_gemma":0.01201268,"threshold_uncertainty_score":0.037118196},"labels":[],"label_agreement":null},{"id":"W7108076343","doi":"10.1515/auto-2025-0111","title":"Simulating pancreatic tissue motion to study the performance of polarimetry-based intraoperative cancer detection","year":2025,"lang":"en","type":"article","venue":"at - Automatisierungstechnik","topic":"Optical Polarization and Ellipsometry","field":"Engineering","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Pancreatic cancer; Motion (physics); Stage (stratigraphy); Trajectory; Gold standard (test); Motion detection; Match moving","score_opus":0.007172449079583918,"score_gpt":0.26384861417926525,"score_spread":0.25667616509968133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108076343","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":[0.89325786,0.00033547546,0.10405744,0.000093877585,0.00006113091,0.00007395514,0.00021140756,0.00039097763,0.0015178437],"genre_scores_gemma":[0.9771728,0.00019357448,0.021862976,0.000030099938,0.000003981436,0.000039624225,0.00010306875,0.0000243186,0.0005695774],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.00002914622,0.000010978106,0.00003627465,0.00007204959,0.000026403788],"domain_scores_gemma":[0.99962413,0.0001759485,0.000059647307,0.00006397642,0.00005544496,0.000020859587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023482305,0.0003820489,0.0001730933,0.00019995493,0.00011650978,0.0003433417,0.00029169774,0.00042910923,0.00074580224],"category_scores_gemma":[0.0009133879,0.00016236288,0.00023374571,0.00019010548,0.00026014104,0.00031551844,0.0003512549,0.00029179401,0.00016861434],"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":[0.0003666909,0.00015766066,0.0043728966,0.0001961447,0.000028739863,0.00020592264,0.00020872786,0.1426722,0.8236047,0.00087114214,0.00032064054,0.026994495],"study_design_scores_gemma":[0.000023434886,0.000778198,0.0049792724,0.000015826005,0.000021321517,0.00016575983,0.00008735696,0.5102431,0.48163822,0.00030604366,0.0016997658,0.00004172162],"about_ca_topic_score_codex":0.0006005802,"about_ca_topic_score_gemma":0.00042309915,"teacher_disagreement_score":0.00074580224,"about_ca_system_score_codex":0.00020371035,"about_ca_system_score_gemma":0.00025085916,"threshold_uncertainty_score":0.0024949312},"labels":[],"label_agreement":null}]}