{"id":"W4406413181","doi":"10.1016/s1541-9800(10)70058-2","title":"10.1016/s1541-9800(10)70058-2","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":"Health records; Medical record; Medicine; Medical emergency; Data science; Computer science; Health care; Political science; Surgery; Law","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":[0.001176247,0.002979654,0.001595332,0.003062962,0.002598176,0.003130127,0.003166401,0.006342175,0.9907809],"category_scores_gemma":[0.002002613,0.0009452844,0.001357861,0.002424302,0.001654443,0.005274135,0.003411732,0.002695703,0.9928126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140068,"about_ca_system_score_gemma":0.001179821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004528083,"about_ca_topic_score_gemma":0.00472101,"domain_scores_codex":[0.9992409,0.00006139668,0.00006010543,0.0002568805,0.0002079921,0.0001726864],"domain_scores_gemma":[0.9977317,0.0006502597,0.000127939,0.0002221226,0.0004424058,0.0008254129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003084731,0.0002935991,0.0009345263,0.0005378127,0.00002836777,0.000287661,0.0001208649,0.0003387147,0.001485654,0.003886408,0.4111162,0.5806617],"study_design_scores_gemma":[0.00005719539,0.0001197415,0.0008515893,0.0003659058,0.00001199339,0.000334316,0.0001272646,0.0001981301,0.00030026,0.0004948744,0.9971145,0.000024256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004261525,0.0003189778,0.0005192677,0.0003680596,0.0002579997,0.000107461,0.000617239,0.0007803276,0.9966044],"genre_scores_gemma":[0.0004211473,0.0001374996,0.0003099795,0.0002211554,0.0000614721,0.00005650112,0.00031314,0.0001275403,0.9983515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00921911,"threshold_uncertainty_score":0.01314992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440152913399787,"score_gpt":0.3238887583837936,"score_spread":0.2994872292497957,"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."}}