{"id":"W2391110362","doi":"10.9778/cmajo.20150045","title":"Health services and policy research in the first decadeat the Canadian Institutes of Health Research","year":2016,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research; Medical Research Council; Australian Government","keywords":"Critical mass (sociodynamics); Health care; Grant funding; Logistic regression; Confidence interval; Political science; Health services research; Medicine; Medical education; Sociology; Public administration; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04536579,0.00009125837,0.0003466543,0.0006727727,0.001165158,0.0001143748,0.001011865,0.00009342458,0.00004071991],"category_scores_gemma":[0.01055232,0.00003770292,0.00001901996,0.001566244,0.000907596,0.0001620898,0.0003833708,0.0009334222,0.00005186697],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191538,"about_ca_system_score_gemma":0.05600547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9456706,"about_ca_topic_score_gemma":0.9317965,"domain_scores_codex":[0.9937481,0.001809177,0.0004265792,0.000284499,0.001593716,0.0021379],"domain_scores_gemma":[0.9912636,0.002748281,0.00006912608,0.0008389936,0.0004090699,0.004670976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000316775,0.0001859598,0.07197366,0.002399219,0.00002131429,0.00006613786,0.01881476,1.096837e-7,0.00001942616,0.01823694,0.1723322,0.7156335],"study_design_scores_gemma":[0.001237122,0.0008761438,0.2484132,0.002184823,7.273444e-7,0.00003030774,0.00206788,0.000005238995,0.00001956612,0.001495248,0.7436318,0.0000379491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07940435,0.002298172,0.000001031662,0.9040634,0.00003376687,0.002888814,0.00001943341,0.000003999698,0.01128703],"genre_scores_gemma":[0.9533741,0.004237594,0.00003317846,0.04151647,0.0002489469,0.0001245151,0.000005553269,0.00001233227,0.0004472454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8739698,"threshold_uncertainty_score":0.9977822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.545587057735613,"score_gpt":0.6092695230595593,"score_spread":0.06368246532394628,"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."}}