{"id":"W2897185657","doi":"10.12927/cjnl.2018.25608","title":"Quality Bests Quantity","year":2018,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Quality (philosophy); Theme (computing); Health care; Patient safety; Nursing; Public relations; Psychology; Political science; Engineering ethics; Medicine; Computer science; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001207533,0.0001155887,0.0001695859,0.00008750302,0.0006066761,0.00001504605,0.0001898156,0.0001234251,0.0008387127],"category_scores_gemma":[0.000222468,0.0001083358,0.00005191918,0.0001779645,0.0002558901,0.0001251181,0.00003041468,0.0002983942,0.004725891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503656,"about_ca_system_score_gemma":0.00008991267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265788,"about_ca_topic_score_gemma":0.0002269592,"domain_scores_codex":[0.9977647,0.0008266235,0.0003076794,0.0002604863,0.0002419981,0.000598515],"domain_scores_gemma":[0.9990516,0.0002093772,0.0001093882,0.0004203413,0.00009043531,0.000118861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001349439,0.0006666059,0.04220299,0.0007679309,0.0000829947,0.00001306028,0.1888847,5.618396e-7,0.001941842,0.2264301,0.4350444,0.1026153],"study_design_scores_gemma":[0.002232624,0.0004487096,0.381102,0.00209889,0.00006901241,0.000002003347,0.2372553,0.00005180094,0.0002993328,0.01207877,0.3637027,0.0006587854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4975184,0.0001143126,0.004683509,0.01545443,0.002899867,0.000544766,0.000004234058,0.0003331654,0.4784474],"genre_scores_gemma":[0.9670635,0.000001436862,0.0004280738,0.005512079,0.0008067931,0.00002018866,0.000005506024,0.00002021315,0.02614218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4695452,"threshold_uncertainty_score":0.996049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6787474753840642,"score_gpt":0.5395069748497804,"score_spread":0.1392405005342838,"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."}}