{"id":"W7154136490","doi":"10.1145/3772318.3809079","title":"10.1145/3772318.3809079","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Health informatics; Informatics; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002125006,0.002530588,0.001896413,0.003366265,0.00292596,0.005008832,0.002581641,0.004567523,0.9552058],"category_scores_gemma":[0.004637616,0.001625165,0.001175337,0.009747747,0.001515773,0.009853135,0.00655083,0.002079999,0.9744342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256033,"about_ca_system_score_gemma":0.001372297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01913624,"about_ca_topic_score_gemma":0.01665556,"domain_scores_codex":[0.9991987,0.00007001075,0.00006749712,0.00020033,0.0003046385,0.0001587589],"domain_scores_gemma":[0.997537,0.0006128454,0.0001004718,0.0006576188,0.0006296902,0.0004623929],"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":[0.0001479722,0.0001316054,0.0004743005,0.0003685504,0.00002505196,0.0001590799,0.00009600652,0.0003174585,0.0006611159,0.004688787,0.7752797,0.2176504],"study_design_scores_gemma":[0.00002053753,0.00001728211,0.0006828489,0.0001929941,0.00002177378,0.0000997316,0.00008106058,0.0004018741,0.0002835272,0.000929897,0.997243,0.000025375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001132595,0.00236218,0.005492485,0.00135042,0.001775429,0.0002288115,0.009369385,0.008287439,0.9700012],"genre_scores_gemma":[0.002046789,0.001274745,0.001102986,0.0005274736,0.0001357459,0.000104884,0.005265883,0.001360263,0.9881813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0447942,"threshold_uncertainty_score":0.06389344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519900585775354,"score_gpt":0.3446058504741647,"score_spread":0.3194068446164112,"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."}}