{"id":"W4406565502","doi":"10.1016/j.endend.2013.01.008","title":"10.1016/j.endend.2013.01.008","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":"Clinical trial; Computer science; Information retrieval; Psychology; Medicine; Natural language processing; Internal medicine","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":[0.000999118,0.0009484509,0.0004527399,0.00181017,0.001215116,0.003219474,0.001251351,0.004756209,0.9284186],"category_scores_gemma":[0.002500719,0.0004179135,0.0005035331,0.0009542952,0.001075172,0.002759315,0.001610014,0.001406461,0.8969256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009696374,"about_ca_system_score_gemma":0.001498702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246068,"about_ca_topic_score_gemma":0.004462758,"domain_scores_codex":[0.9995834,0.00004110102,0.00003084539,0.0001079781,0.0001232622,0.0001134601],"domain_scores_gemma":[0.9986289,0.0003810982,0.0001348107,0.00009151425,0.0002709971,0.0004928246],"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":[0.0001387019,0.0002613279,0.005670161,0.0003985667,0.00002452735,0.0003598306,0.0001876955,0.0002145542,0.0003641433,0.007143298,0.4044296,0.5808076],"study_design_scores_gemma":[0.00003447337,0.00006328184,0.003797637,0.001125022,0.00002419844,0.00152284,0.0005040147,0.0002113904,0.0002312615,0.003906059,0.9885575,0.00002229777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003400583,0.0054454,0.001900842,0.006527877,0.001469844,0.00006271478,0.00184714,0.001158902,0.9781868],"genre_scores_gemma":[0.009199477,0.002418436,0.00169945,0.001736097,0.0003066203,0.00005934499,0.001350721,0.0001963628,0.9830335],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07158136,"threshold_uncertainty_score":0.102102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02508203787444666,"score_gpt":0.3191432593184699,"score_spread":0.2940612214440232,"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."}}