{"id":"W6980020378","doi":"","title":"Architecture 3D et élasticité des muscles de la coiffe des rotateurs par imagerie de tenseur de diffusion et élastographie par résonance magnétique","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rotator cuff; Muscle architecture; Computed tomography","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":[0.0009213327,0.000649084,0.0002347389,0.001871005,0.0001940038,0.001160269,0.0002484441,0.0009460544,0.003773852],"category_scores_gemma":[0.001035542,0.0005176858,0.0003925172,0.000582027,0.000446695,0.0007569568,0.0003963824,0.0003717735,0.000872378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818808,"about_ca_system_score_gemma":0.0003117075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206945,"about_ca_topic_score_gemma":0.002969969,"domain_scores_codex":[0.9997309,0.0000531708,0.00001512561,0.00006652311,0.0001080913,0.00002623574],"domain_scores_gemma":[0.9995785,0.0001547215,0.0001065585,0.00003306107,0.0001006898,0.000026439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008255133,0.00008470189,0.05646664,0.001146786,0.0002194428,0.002353063,0.001377293,0.01038548,0.7676359,0.001326245,0.001233382,0.1569456],"study_design_scores_gemma":[0.0001595995,0.001330288,0.5722641,0.0007528642,0.0007498679,0.02647292,0.002030963,0.08514334,0.2744252,0.003198239,0.0330537,0.000418856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864768,0.006928076,0.1182613,0.0004215444,0.0000905835,0.0001545269,0.0009119763,0.0006098178,0.00785417],"genre_scores_gemma":[0.9364748,0.002684803,0.05407012,0.0002124106,0.00006698877,0.0001548903,0.000544384,0.0001346031,0.005657053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003773852,"threshold_uncertainty_score":0.01262474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005404775360084575,"score_gpt":0.2198927421545415,"score_spread":0.2144879667944569,"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."}}