{"id":"W6958651461","doi":"10.6084/m9.figshare.c.6125412.v1","title":"“We cobble together a storyline of system performance using a diversity of things”: a qualitative study of perspectives on public health performance measurement in Canada","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Structural and Chemical Analysis of Organic and Inorganic Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Trillium Health Centre; Carleton University; University of Toronto","funders":"","keywords":"Public health; Qualitative research; Performance measurement; Government (linguistics); Thematic analysis; Relevance (law); Health care; Diversity (politics); Health policy","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":[0.02160777,0.001460902,0.001717229,0.003359633,0.04860678,0.01171847,0.005609896,0.004230713,0.003827493],"category_scores_gemma":[0.03716224,0.001303855,0.0009666037,0.005055732,0.03292352,0.006854034,0.01103437,0.01175059,0.0004777815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1031124,"about_ca_system_score_gemma":0.08833134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7992131,"about_ca_topic_score_gemma":0.8694713,"domain_scores_codex":[0.9646736,0.02294855,0.0006584498,0.001721466,0.003614005,0.006383805],"domain_scores_gemma":[0.9460572,0.03088923,0.002974026,0.001091578,0.008781387,0.01020654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000120423,0.00001099603,0.0009489894,0.00005681807,0.000002710949,0.0004630924,0.9956215,0.00003616495,0.0001975084,0.0007874353,0.0008217877,0.001040997],"study_design_scores_gemma":[0.000001203636,0.00000829247,0.0004436595,0.00009085769,0.000001938271,0.00007528626,0.992151,0.00005858403,0.00008332865,0.0001263782,0.006946843,0.00001273703],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9387941,0.00229289,0.005830858,0.03079037,0.0003964505,0.0006582844,0.0008214677,0.0001012474,0.02031433],"genre_scores_gemma":[0.9879632,0.001168083,0.001673291,0.003531194,0.0000527357,0.0003287327,0.000160603,0.0001101013,0.005012059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007869,"threshold_uncertainty_score":0.7481361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08814213470986995,"score_gpt":0.2605416791874863,"score_spread":0.1723995444776163,"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."}}