{"id":"W6977625390","doi":"10.6084/m9.figshare.c.7622233.v1","title":"Addressing evidence needs during health crises in the province of Quebec (Canada): a proposed action plan for rapid evidence synthesis","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université TÉLUQ; Université de Montréal; Université Laval; Université de Sherbrooke; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Operationalization; Action plan; Action (physics); Plan (archaeology); Pandemic; Evidence-based practice; Knowledge translation; Empirical evidence; Key (lock)","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":["metaresearch"],"category_scores_codex":[0.4112578,0.003789851,0.004446186,0.01753132,0.01984478,0.02196819,0.01282127,0.01728947,0.004118231],"category_scores_gemma":[0.3295421,0.0028878,0.006732686,0.0168051,0.008548771,0.01222804,0.01753108,0.01319392,0.0006922949],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1677007,"about_ca_system_score_gemma":0.6706644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4043781,"about_ca_topic_score_gemma":0.5296295,"domain_scores_codex":[0.6857608,0.2168877,0.04243689,0.009458382,0.02826466,0.01719159],"domain_scores_gemma":[0.5008314,0.2580927,0.02721783,0.01436262,0.155895,0.04360048],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00233105,0.002941124,0.03133247,0.1042532,0.002662678,0.00614863,0.09974405,0.05136612,0.010356,0.1006231,0.08412222,0.5041194],"study_design_scores_gemma":[0.005072841,0.004025294,0.03965205,0.1674231,0.004058006,0.002002042,0.2471964,0.05354111,0.009942568,0.092269,0.3729935,0.001824035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.04669857,0.02656404,0.1578685,0.4489315,0.003183428,0.2884572,0.004194644,0.001136136,0.02296591],"genre_scores_gemma":[0.07346468,0.005580835,0.8390881,0.01145863,0.000175801,0.06725603,0.0014286,0.00004966133,0.00149764],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8322993,"threshold_uncertainty_score":0.9653492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001120859241421,"score_gpt":0.2993535125725141,"score_spread":0.199241426648372,"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."}}