{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002572983,0.0001591505,0.0002264523,0.0002036527,0.0001315133,0.0001064546,0.0002744943,0.0001335271,0.9975274],"category_scores_gemma":[0.00005065032,0.0001484401,0.00005139487,0.0003586674,0.00002720194,0.0002804249,0.00008317164,0.0001224478,0.9984607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002601466,"about_ca_system_score_gemma":0.00001627008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001594632,"about_ca_topic_score_gemma":0.000009130534,"domain_scores_codex":[0.9988842,0.00001061967,0.000259078,0.0002801162,0.0001642595,0.0004017238],"domain_scores_gemma":[0.9994285,0.00001837666,0.00006552957,0.0003585313,0.0001008114,0.00002826136],"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":[0.00001358985,0.00002132684,9.660044e-7,0.00002792085,0.000005822288,0.00000604848,8.047198e-7,0.000002449573,0.000005583807,0.00004009848,0.4917691,0.5081063],"study_design_scores_gemma":[0.0002206513,0.00002506753,0.00006337707,0.00002322686,0.000009206377,0.00000348812,0.000001459378,0.0001806389,0.000003096398,0.00005926008,0.9992267,0.0001837786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002037013,0.00006218734,5.190184e-7,0.002121384,0.000006469674,0.0002621959,0.000003775014,0.000489741,0.9950167],"genre_scores_gemma":[0.003040843,1.827466e-7,0.00001952133,0.0003297217,0.0008891433,0.00002988813,0.0000284503,0.00003392832,0.9956283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5079225,"threshold_uncertainty_score":0.6053213,"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."}}