{"id":"W4414076506","doi":"10.1111/jcal.70099","title":"Multimodal Cluster Analysis of Medical Residents' Emotions During High‐Fidelity Harassment Bystander Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University Health Centre","keywords":"Harassment; Fidelity; Content analysis; Cluster analysis; Cluster (spacecraft); Bystander effect; Value (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007950463,0.0002360501,0.0002832202,0.0008391493,0.0004203686,0.0005398155,0.0002258318,0.0002261573,0.001946132],"category_scores_gemma":[0.004153777,0.00009323026,0.0002628902,0.0005648798,0.0003449895,0.0001831213,0.0007500534,0.0002566198,0.0002080229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273578,"about_ca_system_score_gemma":0.0002735902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092179,"about_ca_topic_score_gemma":0.0029129,"domain_scores_codex":[0.9994802,0.0002114116,0.00002845281,0.00009518159,0.0001128671,0.00007194468],"domain_scores_gemma":[0.9984221,0.000617569,0.0002743029,0.0001297459,0.0004043042,0.0001519244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004372105,0.0006299339,0.5684364,0.0005971692,0.0003784312,0.0008811317,0.04043994,0.01615568,0.1469524,0.001213551,0.002895006,0.2170481],"study_design_scores_gemma":[0.00001662322,0.0005333601,0.9534709,0.00004545274,0.00006367387,0.0001997776,0.01082324,0.02541425,0.007757634,0.0006565716,0.0009514139,0.00006703248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931144,0.00001907008,0.006215533,0.00002530873,0.000004328525,0.00004858078,0.0001169144,0.00003495947,0.000420785],"genre_scores_gemma":[0.9973937,0.0000129119,0.00218043,0.000005190727,0.000002503688,0.00004957688,0.000140374,0.000006232657,0.0002090743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002092179,"threshold_uncertainty_score":0.006510437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726005947848547,"score_gpt":0.3853893584914539,"score_spread":0.3581292990129684,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}