{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02765439,0.000328592,0.0004163666,0.0005582126,0.0007078222,0.000312187,0.0006296311,0.0002522701,0.00001465074],"category_scores_gemma":[0.003888713,0.0002963829,0.0004638765,0.0008855186,0.000181109,0.0007566466,0.0000811878,0.0003838264,3.698862e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573938,"about_ca_system_score_gemma":0.0008816211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1602894,"about_ca_topic_score_gemma":0.8997436,"domain_scores_codex":[0.9926913,0.004566493,0.00131929,0.0004745035,0.0006026256,0.0003457666],"domain_scores_gemma":[0.9871073,0.005041914,0.001025575,0.0005432912,0.006175371,0.0001065036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002565512,0.001145128,0.234379,0.01343261,0.02621146,0.000002625591,0.01416066,0.1516838,0.001174411,0.01148242,0.0123859,0.5336854],"study_design_scores_gemma":[0.0009640809,0.000008237495,0.8263093,0.006709502,0.004085176,0.000003581368,0.004760679,0.1215825,0.002523873,0.01233702,0.0201713,0.0005447705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.434763,0.02973299,0.5225958,0.007218116,0.0002417883,0.003216457,0.0005847765,0.0001201005,0.001527026],"genre_scores_gemma":[0.4985239,0.2337823,0.2597148,0.00008424813,0.00006142828,0.002561599,0.0021311,0.0001081346,0.00303256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7394542,"threshold_uncertainty_score":0.9999489,"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."}}