{"id":"W4236598436","doi":"10.1503/cmaj.1040916","title":"Clarification","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.004379635,0.0002315015,0.0003944064,0.0004446927,0.002363873,0.0001042222,0.0003874404,0.006828106,0.01853557],"category_scores_gemma":[0.004325019,0.0002205577,0.000134535,0.0003494426,0.00002736688,0.0001635387,0.00001578721,0.01821961,0.003246244],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008605896,"about_ca_system_score_gemma":0.04949319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01334448,"about_ca_topic_score_gemma":0.04304907,"domain_scores_codex":[0.9936748,0.001615045,0.00124884,0.0002847324,0.002064659,0.001111914],"domain_scores_gemma":[0.995176,0.0004649776,0.0007956641,0.0002414945,0.001968634,0.001353277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.555891e-7,0.000004305015,0.001694433,0.00004917231,0.0000428654,0.0003358145,0.0003678233,0.00002794087,1.264612e-7,0.0002758537,0.9948021,0.002398725],"study_design_scores_gemma":[0.0004579974,0.00001919135,0.0006317364,0.0003885111,0.00002438719,0.00005860019,0.00020728,0.0002005272,9.713153e-8,0.0003743522,0.9974285,0.0002088187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001317991,0.0001397542,0.001302258,0.9803698,0.005240709,0.0004213105,0.00008895375,0.00005169261,0.01225371],"genre_scores_gemma":[0.0003879992,0.0003624041,0.0008602457,0.9509342,0.03491148,0.00005661398,0.0006829235,0.00006235407,0.01174174],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0408873,"threshold_uncertainty_score":0.9989349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367226941702582,"score_gpt":0.3671131176916901,"score_spread":0.3303904235214319,"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."}}