{"id":"W6983321931","doi":"","title":"Measuring Health: Lessons for Ontario","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Government (linguistics); Work (physics); Data collection; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001462041,0.0001664103,0.0003196159,0.006668755,0.001860458,0.00001120359,0.000275641,0.0002138458,0.0001169023],"category_scores_gemma":[0.0003066142,0.0001710686,0.0001056372,0.004681282,0.00003531735,0.0002836459,0.0001519638,0.0006814885,0.0004601741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490315,"about_ca_system_score_gemma":0.004780094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3958639,"about_ca_topic_score_gemma":0.5136483,"domain_scores_codex":[0.9977544,0.000271114,0.0004372064,0.0002951204,0.0003037313,0.000938405],"domain_scores_gemma":[0.9984116,0.0005212541,0.0002841404,0.0002995317,0.0002007917,0.0002827031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001299804,0.0002953469,0.01348556,0.008577083,0.0002402405,0.00007436165,0.4234821,0.0001533499,0.000005847353,0.1082488,0.2071679,0.2369696],"study_design_scores_gemma":[0.001466501,0.000130999,0.00263072,0.00031693,0.00001646859,7.156778e-7,0.003491467,0.000743989,0.00000403081,0.000006530443,0.9910304,0.000161262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.041524,0.000002243401,0.009791733,0.03098849,0.002523932,0.005057472,0.0001568613,0.001911049,0.9080442],"genre_scores_gemma":[0.8404654,0.1171826,0.008582488,0.01537591,0.0022352,0.00038252,0.001404769,0.0002461998,0.01412488],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8939193,"threshold_uncertainty_score":0.999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3587172396593467,"score_gpt":0.3963141255696976,"score_spread":0.03759688591035087,"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."}}