{"id":"W6977295412","doi":"10.6084/m9.figshare.19311511.v1","title":"Additional file 1 of Domains and processes for institutionalizing evidence-informed health policy-making: a critical interpretive synthesis","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Government (linguistics); Process (computing); Information system; Perspective (graphical); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002446986,0.0001012497,0.0001359475,0.0001157047,0.0001559904,0.00001824413,0.0001110397,0.00002422651,0.7928649],"category_scores_gemma":[0.03686518,0.0001198137,0.00003682471,0.0001890219,0.00001693512,0.0001774851,0.0001051241,0.0001157804,0.00001571814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393285,"about_ca_system_score_gemma":0.0003678367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002111646,"about_ca_topic_score_gemma":0.000002354696,"domain_scores_codex":[0.9993711,0.00001273904,0.0001678633,0.0001168693,0.0001410062,0.0001904361],"domain_scores_gemma":[0.9907548,0.009028849,0.00003954192,0.00006900188,0.00005406298,0.0000537794],"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":[0.000007505517,0.000009755327,4.682123e-7,0.001668514,0.00001768195,9.182752e-7,0.0004497577,0.007357295,0.00001863171,0.0003028841,0.9898583,0.0003083315],"study_design_scores_gemma":[0.00003669214,0.0001052918,0.0001349349,0.02006739,0.000003060321,0.00003726167,0.0004636282,0.01136017,0.0002177948,0.00003886806,0.9673368,0.0001981443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000007132271,0.0004820294,0.00006259405,0.0000932073,0.00002064969,0.0001539362,0.9978838,0.0001297236,0.00116695],"genre_scores_gemma":[0.5703287,0.000007720335,0.01490405,0.0002488781,0.0002294934,0.02646258,0.3876904,0.0000767743,0.00005147832],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7928492,"threshold_uncertainty_score":0.9712477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291622342732331,"score_gpt":0.3324844662999148,"score_spread":0.2995682428725915,"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."}}