{"id":"W4252951501","doi":"10.1258/jrsm.2010.10k049","title":"<i>NHS Titanic</i> ?","year":2010,"lang":"he","type":"article","venue":"Journal of the Royal Society of Medicine","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cochrane","funders":"","keywords":"World Wide Web; Computer science; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003667915,0.0006212489,0.0006567432,0.0008796737,0.004228599,0.009091049,0.001848313,0.0165831,0.2504529],"category_scores_gemma":[0.01469792,0.0004107973,0.0008478973,0.0006451907,0.003330708,0.005996918,0.003805465,0.007894243,0.1248075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003556282,"about_ca_system_score_gemma":0.006825082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0152885,"about_ca_topic_score_gemma":0.03180854,"domain_scores_codex":[0.9972509,0.0003836552,0.0001457379,0.0002325797,0.001111849,0.0008752699],"domain_scores_gemma":[0.9931216,0.001015316,0.0003898838,0.0004806354,0.001966668,0.003025928],"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":[0.000005831144,0.000005425415,0.0000665317,0.00002068245,8.519042e-7,0.00003323279,0.00003319424,0.000004519532,0.00003046392,0.003490508,0.9920422,0.004266472],"study_design_scores_gemma":[0.000007435771,0.000008323651,0.0004756128,0.0001105314,0.000001507922,0.00008509855,0.0003102169,0.00002193028,0.0000390838,0.002469441,0.9964584,0.00001236866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004990246,0.001870259,0.0003232227,0.6679354,0.1129139,0.00005632647,0.0004082035,0.0003366043,0.215657],"genre_scores_gemma":[0.005862864,0.0009455472,0.0004425856,0.4776627,0.03339637,0.00008688666,0.0002223501,0.0002184667,0.4811622],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2504529,"threshold_uncertainty_score":0.8378483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05315823904497296,"score_gpt":0.3963252143107375,"score_spread":0.3431669752657646,"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."}}