{"id":"W1852293207","doi":"10.1097/acm.0000000000000902","title":"Seeing Things Differently or Seeing Different Things? Exploring Raters’ Associations of Noncognitive Attributes","year":2015,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Medical Education and Admissions","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Rasch model; Psychology; Empathy; Multilevel model; Hierarchical clustering; Variance (accounting); Profiling (computer programming); Facet (psychology); Applied psychology; Cluster analysis; Clinical psychology; Social psychology; Developmental psychology; Computer science; Big Five personality traits; Personality; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06134729,0.0003767417,0.0005460935,0.002061163,0.0007750538,0.002362238,0.0006739053,0.0004755952,0.0006764666],"category_scores_gemma":[0.1855001,0.0002604503,0.0005480523,0.001510604,0.001462988,0.001256798,0.001512478,0.0009429712,0.0002637981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009632114,"about_ca_system_score_gemma":0.0008399127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073902,"about_ca_topic_score_gemma":0.004028709,"domain_scores_codex":[0.9415184,0.03780156,0.003934872,0.003072201,0.01247936,0.001193637],"domain_scores_gemma":[0.7890643,0.1339645,0.03668287,0.01130502,0.02719046,0.001792876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003150588,0.00007968754,0.8678741,0.0002675329,0.0003836568,0.0001003275,0.06930803,0.0005280781,0.002728754,0.001056247,0.0008273973,0.0565312],"study_design_scores_gemma":[0.00001906896,0.0004729524,0.9394511,0.0002632819,0.000123748,0.0003880037,0.04325205,0.006605411,0.003475685,0.002021696,0.003810663,0.0001163188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810997,0.0003735964,0.0149021,0.000315073,0.00005777369,0.0001278191,0.0001326081,0.0000350013,0.002956416],"genre_scores_gemma":[0.9961113,0.0001239951,0.003221093,0.00006717801,0.00002811692,0.0001118743,0.00008793132,0.00001637661,0.0002321556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06134729,"threshold_uncertainty_score":0.3244393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3535882225567169,"score_gpt":0.4101850843760756,"score_spread":0.05659686181935869,"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."}}