{"id":"W6939471925","doi":"10.6084/m9.figshare.20408196","title":"Additional file 1 of “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":"article","venue":"Open MIND","topic":"Primary Care and Health Outcomes","field":"Health Professions","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":"Cobble; Qualitative research; Diversity (politics); Performance measurement; Qualitative analysis; Qualitative property","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006248411,0.0007606829,0.001019267,0.00422827,0.005146022,0.002279169,0.00179211,0.001174457,0.5776083],"category_scores_gemma":[0.05861479,0.0006783379,0.0006339212,0.008261942,0.001035363,0.00256732,0.002235452,0.00182615,0.03149219],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01353788,"about_ca_system_score_gemma":0.02724855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4391853,"about_ca_topic_score_gemma":0.6578185,"domain_scores_codex":[0.997162,0.001091243,0.0003386236,0.0002267599,0.0007831999,0.0003981373],"domain_scores_gemma":[0.9327368,0.04850243,0.002093401,0.001835426,0.01310984,0.001722169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009653342,0.0001276718,0.003058163,0.002266284,0.000009889896,0.0001041633,0.01474767,0.0002520455,0.00009641142,0.001677197,0.9661486,0.01141537],"study_design_scores_gemma":[0.001006412,0.0001699733,0.0549636,0.005695609,0.00005041032,0.0002171559,0.08685396,0.00106577,0.0005223577,0.006475511,0.8426971,0.0002821165],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005057127,0.00007920332,0.001417771,0.001980955,0.0001296095,0.004041941,0.9742408,0.0003137991,0.01273877],"genre_scores_gemma":[0.1047592,0.001195365,0.02780033,0.004417588,0.0002592643,0.1484795,0.5876173,0.001240448,0.124231],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9864621,"threshold_uncertainty_score":0.8732579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2694854703460521,"score_gpt":0.419819445985929,"score_spread":0.1503339756398769,"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."}}