{"id":"W2185742531","doi":"10.1002/j.0022-0337.2002.66.9.tb03570.x","title":"A Measure of Agreement Between Clinicians and a Computer‐Based Decision Support System for Planning Dental Treatment","year":2002,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF","funders":"","keywords":"Measure (data warehouse); Decision support system; Medical physics; Medicine; Psychology; Computer science; Artificial intelligence; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06064048,0.000518423,0.0008028353,0.003772647,0.0008146491,0.00158033,0.0008489956,0.0008405826,0.001025584],"category_scores_gemma":[0.2283264,0.0004557873,0.001279369,0.001903796,0.001141385,0.002092448,0.001633556,0.001027656,0.0006136537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205621,"about_ca_system_score_gemma":0.001177979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464738,"about_ca_topic_score_gemma":0.001574573,"domain_scores_codex":[0.9196112,0.05245929,0.008929521,0.003558692,0.01433669,0.00110457],"domain_scores_gemma":[0.6342946,0.2906199,0.02346132,0.01145587,0.03780569,0.002362632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003051128,0.0009503989,0.8516572,0.0003913653,0.001390913,0.00009696009,0.007689074,0.005471662,0.002416305,0.002074944,0.001676982,0.1231331],"study_design_scores_gemma":[0.0005167889,0.006634777,0.8463667,0.0003431998,0.0005078911,0.000841903,0.008789559,0.1156969,0.007103659,0.006399162,0.006452901,0.0003464359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471543,0.0003738482,0.04383335,0.0002075349,0.0001045205,0.0006297603,0.0003822935,0.000215286,0.007099035],"genre_scores_gemma":[0.984953,0.00007189388,0.01385569,0.00004916545,0.00002781973,0.0003133429,0.0002786999,0.00002176302,0.0004287352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06064048,"threshold_uncertainty_score":0.3207014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1954144651659834,"score_gpt":0.4167756403756122,"score_spread":0.2213611752096287,"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."}}