{"id":"W2468880701","doi":"10.1097/mlr.0000000000000210","title":"Preamble to Invited Commentary","year":2014,"lang":"en","type":"article","venue":"Medical Care","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; University of Toronto","funders":"","keywords":"Preamble; Suite; Library science; Health science; Political science; Medicine; Medical education; Engineering; Computer science; Telecommunications; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0101898,0.001414557,0.002016058,0.002343683,0.00576769,0.006110203,0.004679861,0.04009101,0.05939411],"category_scores_gemma":[0.1043642,0.001040748,0.003157603,0.001448944,0.003416729,0.005663306,0.003838671,0.03381617,0.02906269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008591844,"about_ca_system_score_gemma":0.01713315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01700165,"about_ca_topic_score_gemma":0.01780376,"domain_scores_codex":[0.9905662,0.002738427,0.0009323943,0.00103424,0.003558455,0.001170234],"domain_scores_gemma":[0.9430183,0.02630147,0.00209493,0.001403346,0.02346133,0.003720646],"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":[0.00000821941,0.000002215013,0.000009290347,0.00007066292,0.000002839076,0.00004088833,0.00002661848,0.000004654834,0.000009528992,0.0003642808,0.9986963,0.0007645458],"study_design_scores_gemma":[0.00003932285,0.00001424901,0.0002365772,0.001186553,0.00002238609,0.0001445449,0.0002052743,0.00003936285,0.00006427884,0.002482689,0.9955295,0.00003522935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00005783866,0.002002046,0.0001016573,0.6918858,0.3001814,0.0001212764,0.0003426399,0.00004890947,0.005258404],"genre_scores_gemma":[0.0009234403,0.001451578,0.0001521569,0.8623447,0.1168542,0.0003769941,0.0001351648,0.00006091133,0.01770083],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05939411,"threshold_uncertainty_score":0.1986932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5370356549423815,"score_gpt":0.5884789391278565,"score_spread":0.05144328418547506,"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."}}