{"id":"W6976847262","doi":"10.60692/mde7b-j9317","title":"A Canadian model for providing high-quality, timely and relevant evidence to meet health system decision-maker needs: the SPOR Evidence Alliance","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Government of Northwest Territories; Queen's University; Aurora College; Simon Fraser University; Fraser Health; Memorial University of Newfoundland; McMaster University; Health Canada; Research Canada; Ottawa Hospital; University of Manitoba; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; University of Calgary; Université Laval; Dalhousie University; George & Fay Yee Centre for Healthcare Innovation; University of British Columbia","funders":"","keywords":"Alliance; Context (archaeology); Health policy; Key (lock); Health care; Healthcare system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1660742,0.001560536,0.001402478,0.01246924,0.01252442,0.02676586,0.007258433,0.009449791,0.005735525],"category_scores_gemma":[0.1579269,0.001834727,0.002456419,0.01094157,0.02752298,0.01088576,0.01830748,0.01495037,0.001287868],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1709421,"about_ca_system_score_gemma":0.6134753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8523867,"about_ca_topic_score_gemma":0.9125846,"domain_scores_codex":[0.8350353,0.08514266,0.00954129,0.007567339,0.0531036,0.009609862],"domain_scores_gemma":[0.7968998,0.05749374,0.008191776,0.01337549,0.08584047,0.0381988],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001080391,0.0001545368,0.006098108,0.001268071,0.0003130342,0.0003957895,0.006148281,0.00364088,0.0005237694,0.8197049,0.08727772,0.07436704],"study_design_scores_gemma":[0.0003012575,0.0002465384,0.005767099,0.003380344,0.0003650333,0.000247464,0.00563541,0.005862721,0.0007298251,0.278037,0.699147,0.0002803396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007332977,0.006375152,0.07599196,0.7557849,0.001704085,0.001893359,0.0009024736,0.0005308228,0.1494843],"genre_scores_gemma":[0.2726627,0.01093687,0.5658457,0.1110497,0.0009269747,0.002618211,0.00116345,0.000270548,0.03452589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8339257,"threshold_uncertainty_score":0.9615897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5439072407434544,"score_gpt":0.5304473235569601,"score_spread":0.01345991718649431,"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."}}