{"id":"W7104294101","doi":"10.71781/1141","title":"Force de préhension et maladies cardiovasculaires","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Arterial disease; Task force; Work force; Coronary heart disease","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":[0.0216048,0.0009165203,0.001532566,0.002039812,0.001533648,0.003539516,0.001872559,0.002005261,0.01205824],"category_scores_gemma":[0.07595792,0.00056587,0.002624522,0.00300447,0.003213822,0.003004293,0.002544767,0.002477191,0.0009260813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305577,"about_ca_system_score_gemma":0.006454573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116262,"about_ca_topic_score_gemma":0.01260189,"domain_scores_codex":[0.9807982,0.01219686,0.001254316,0.002157807,0.002799873,0.0007928996],"domain_scores_gemma":[0.9276315,0.05399491,0.01098641,0.003238862,0.003101039,0.001047204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002178275,0.0004755525,0.7443634,0.01030729,0.004514494,0.0008148039,0.01444793,0.002692349,0.001063426,0.03872672,0.006903524,0.1735124],"study_design_scores_gemma":[0.0002620155,0.001772599,0.8720723,0.01164316,0.003168523,0.002116566,0.01200891,0.004265505,0.001583816,0.04758082,0.04321035,0.0003154133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491881,0.09806781,0.07424138,0.03147112,0.002609721,0.002422848,0.005891156,0.0002422787,0.03586555],"genre_scores_gemma":[0.941519,0.01963917,0.0248936,0.003298518,0.0008743861,0.002841919,0.0009916932,0.00007166557,0.005870186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216048,"threshold_uncertainty_score":0.1142584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007495450818290501,"score_gpt":0.1953091749315533,"score_spread":0.1878137241132628,"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."}}