{"id":"W2772612024","doi":"10.4300/jgme-d-17-00644.1","title":"On Rating Angels: The Halo Effect and Straight Line Scoring","year":2017,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Phenomenon; Suspect; Psychology; Consistency (knowledge bases); Nothing; Rating scale; Halo; Recall; Promotion (chess); Social psychology; Townsend; Cognitive psychology; Epistemology; Computer science; Developmental psychology; Law; Philosophy; Artificial intelligence; Political science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003665149,0.0001252507,0.0002683099,0.0001620267,0.0005517597,0.0001010972,0.0002586213,0.000106078,0.0001470676],"category_scores_gemma":[0.03479505,0.00007101057,0.00006970858,0.000126967,0.0002908824,0.0001948553,0.00003401828,0.00113139,0.000008917109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054136,"about_ca_system_score_gemma":0.001048118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621583,"about_ca_topic_score_gemma":0.000002808579,"domain_scores_codex":[0.9979417,0.0001294107,0.0005451366,0.000134576,0.001084794,0.0001643786],"domain_scores_gemma":[0.9979731,0.0003232697,0.0006857261,0.0003757315,0.0004611136,0.0001810706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001422031,0.0004382246,0.004852687,0.0001681756,0.00007114928,0.0000211951,0.000839251,0.000001528016,0.0003393273,0.002300588,0.03844913,0.9523765],"study_design_scores_gemma":[0.0114333,0.008220329,0.8844039,0.01697184,0.001280316,0.00545029,0.003710538,0.008014536,0.008623121,0.01253716,0.03854867,0.0008060149],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958647,0.0002498676,0.0003534719,0.09875182,0.002819187,0.000212305,2.727089e-7,0.00000836694,0.001740009],"genre_scores_gemma":[0.9924082,0.0001642059,0.001060881,0.00346708,0.002567939,0.00001119251,0.000005402188,0.00001515635,0.0002999922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9515705,"threshold_uncertainty_score":0.9733353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896792197588554,"score_gpt":0.3992918764495688,"score_spread":0.3603239544736832,"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."}}