{"id":"W2107288130","doi":"10.12927/hcq.2009.20756","title":"Turning Data into Meaningful Information","year":2009,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Accountability; Health care; Business; Information system; Medical emergency; Process management; Operations management; Public relations; Medicine; Nursing; Engineering; Political science","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":[0.07808407,0.002059822,0.002395549,0.01621124,0.003797063,0.02941026,0.006163951,0.007233753,0.0275081],"category_scores_gemma":[0.2796376,0.002585756,0.00182249,0.01544323,0.01094352,0.04945435,0.0222005,0.01467012,0.02002748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007899343,"about_ca_system_score_gemma":0.01825074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00789554,"about_ca_topic_score_gemma":0.004288359,"domain_scores_codex":[0.9055559,0.0491709,0.01080673,0.0070312,0.02495061,0.002484643],"domain_scores_gemma":[0.6647196,0.2073635,0.01216848,0.05590482,0.05039475,0.00944888],"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":[0.0002193907,0.0001138444,0.004047729,0.002397988,0.0002094024,0.0004632928,0.00469694,0.001489291,0.0008157653,0.3173817,0.4036963,0.2644685],"study_design_scores_gemma":[0.00002783107,0.00003961271,0.0006714864,0.002614783,0.00003865491,0.0001419426,0.002341936,0.0007633602,0.0006128363,0.2163326,0.7763423,0.00007270941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005346315,0.03424928,0.3092782,0.4341843,0.02468105,0.001150622,0.03516388,0.006733061,0.1492134],"genre_scores_gemma":[0.1391106,0.07537827,0.5369378,0.09097183,0.02228486,0.002620234,0.08462815,0.006650547,0.0414177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07808407,"threshold_uncertainty_score":0.412953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07280086326435459,"score_gpt":0.4309267689745933,"score_spread":0.3581259057102387,"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."}}