{"id":"W7136049877","doi":"10.6084/m9.figshare.5146636","title":"Additional file 1: of ACSC Indicator: testing reliability for hypertension","year":2017,"lang":"","type":"article","venue":"Figshare","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); MEDLINE; Clinical trial; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002680634,0.0009435244,0.0008691392,0.003892849,0.001212514,0.001284545,0.001627712,0.0009177738,0.7861044],"category_scores_gemma":[0.07464179,0.0005296945,0.001119212,0.006674506,0.0003511556,0.001741429,0.001024245,0.001005177,0.09573936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427208,"about_ca_system_score_gemma":0.004692832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.095191,"about_ca_topic_score_gemma":0.1020072,"domain_scores_codex":[0.9979405,0.0004339549,0.0004243435,0.0002948147,0.0006168991,0.000289481],"domain_scores_gemma":[0.9355737,0.04459165,0.003761087,0.002561192,0.01250295,0.001009418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001035627,0.00005611977,0.004176529,0.0005797843,0.00001931623,0.0000162802,0.00004572162,0.0001817743,0.00001908039,0.0003032048,0.9908164,0.003682217],"study_design_scores_gemma":[0.006242996,0.0004216974,0.2370393,0.006312091,0.0003143833,0.0004897236,0.002181481,0.004006801,0.001171785,0.007740425,0.7337446,0.0003348026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000257516,0.00000480469,0.0001205395,0.0000940618,0.00001338709,0.000116548,0.9980986,0.00006570129,0.001228854],"genre_scores_gemma":[0.01904133,0.00009587745,0.003581157,0.0006180755,0.0001154896,0.004753273,0.9594754,0.000566173,0.01175324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7861044,"threshold_uncertainty_score":0.305096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5196468228390092,"score_gpt":0.4383556409702373,"score_spread":0.08129118186877188,"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."}}