{"id":"W4406501162","doi":"10.1016/j.ysur.2014.10.001","title":"10.1016/j.ysur.2014.10.001","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Training (meteorology); Big data; Medical education; Data science; Knowledge management; Data mining","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":[0.0007320114,0.001234325,0.0004562261,0.002124682,0.0009606119,0.00392238,0.001015203,0.004204424,0.9130946],"category_scores_gemma":[0.001631401,0.0004184365,0.0005238426,0.001259076,0.0008656023,0.003439261,0.001464338,0.001270514,0.9023312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000815444,"about_ca_system_score_gemma":0.001161967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606922,"about_ca_topic_score_gemma":0.002051742,"domain_scores_codex":[0.9996781,0.00002333891,0.00002601161,0.00009914255,0.00009355295,0.00007992261],"domain_scores_gemma":[0.9990093,0.0001929486,0.0001496653,0.00008388545,0.0002193315,0.0003448006],"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":[0.0001224342,0.0001788853,0.003435795,0.0004142709,0.00002484271,0.0002554594,0.0001912096,0.000382073,0.0007720325,0.00917445,0.2857732,0.6992753],"study_design_scores_gemma":[0.00002924155,0.00006468962,0.003214565,0.0006828649,0.00002966456,0.00133018,0.00040352,0.0005437305,0.0004192978,0.00528405,0.9879733,0.00002485298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004242258,0.006367472,0.004990813,0.00412408,0.001400967,0.00007138585,0.002344136,0.002924139,0.9735347],"genre_scores_gemma":[0.0130608,0.002514031,0.003105936,0.001153709,0.000364972,0.00005392818,0.00178603,0.0003849855,0.9775757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08690542,"threshold_uncertainty_score":0.12396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008602078814586259,"score_gpt":0.1844567115498379,"score_spread":0.1758546327352516,"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."}}