{"id":"W7061566732","doi":"","title":"Projet SPICES : sélection parmi sept recommandations de bonne pratique pour la prévention des maladies cardiovasculaires via les procédures Agree II et ADAPTE. Identification des références bibliographiques des recommandations internationales <i>National Stroke Foundation, Guidelines for the management of absolute cardiovascular disease risk, 2012</i> et <i>Canadian Diabetes Association, Clinical practice guidelines for the prevention and management of diabetes in Canada, 2013</i>, à intégrer dans la matrice de recherche de l’étude SPICES","year":2019,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Data extraction; Primary prevention; Secondary prevention; Randomized controlled trial; Systematic review; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1245527,0.001671767,0.003779331,0.02593683,0.002109797,0.006542552,0.00266392,0.002760926,0.01598373],"category_scores_gemma":[0.336685,0.00187551,0.007729603,0.01853807,0.001722445,0.004725146,0.006835839,0.003371584,0.004525363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004011076,"about_ca_system_score_gemma":0.05012124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007637242,"about_ca_topic_score_gemma":0.01341811,"domain_scores_codex":[0.8620856,0.05709389,0.0580179,0.00395708,0.01723355,0.00161197],"domain_scores_gemma":[0.6886758,0.1735904,0.04131537,0.01590356,0.07604687,0.004468005],"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":[0.001484407,0.0003993788,0.01371655,0.1534122,0.003049391,0.0005465669,0.006771233,0.0009377453,0.002530502,0.008272034,0.1435144,0.6653655],"study_design_scores_gemma":[0.002681769,0.001144041,0.03891384,0.1981319,0.007965989,0.0007935364,0.00570487,0.001386358,0.004470495,0.00949329,0.72879,0.0005238387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"other","genre_scores_codex":[0.05197372,0.1372274,0.1668524,0.06974838,0.008904829,0.3437468,0.1389764,0.00515842,0.0774116],"genre_scores_gemma":[0.03891966,0.03988765,0.6676076,0.00556139,0.0009310824,0.2040047,0.03521107,0.0005141798,0.007362659],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9923627,"threshold_uncertainty_score":0.6587054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06362385798181551,"score_gpt":0.3453650084809262,"score_spread":0.2817411504991106,"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."}}