{"id":"W2110958719","doi":"","title":"DECOMPOSITION D’UNE SEQUENCE D’IMAGES DYNAMIQUES DU COEUR EN COMPOSANTES SANGUINE ET TISSULAIRE, EN TOMOGRAPHIE D'EMISSION PAR POSITRONS, PAR LA METHODE DE REDUCTION LINEAIRE DE DIMENSION","year":2012,"lang":"fr","type":"article","venue":"Courrier du Savoir (Universite de Biskra)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007724439,0.0009131765,0.0005805663,0.001347407,0.0003304849,0.001423687,0.0003841386,0.0007349142,0.004352909],"category_scores_gemma":[0.002047863,0.0004153003,0.001034821,0.0009019386,0.0007044422,0.001119323,0.0006382248,0.0009662404,0.001343727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004298755,"about_ca_system_score_gemma":0.0009952314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002533165,"about_ca_topic_score_gemma":0.002645699,"domain_scores_codex":[0.9996428,0.00006376917,0.00002684755,0.000100665,0.000126142,0.00003971597],"domain_scores_gemma":[0.9991509,0.0003712447,0.00007727231,0.0001116661,0.0002542046,0.00003470145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003945998,0.00008039516,0.003258897,0.0007133867,0.0001700077,0.000450729,0.0006168177,0.05914633,0.3678682,0.03000178,0.003103263,0.5341956],"study_design_scores_gemma":[0.00007238975,0.0006034856,0.01803485,0.0001653945,0.0002387223,0.002151474,0.0006781441,0.6875342,0.1851192,0.05080285,0.05441817,0.000181191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01689246,0.000336481,0.9809499,0.0001565148,0.00006919104,0.00003856011,0.0001459172,0.0002733238,0.001137589],"genre_scores_gemma":[0.1191875,0.001171532,0.8713686,0.0001061722,0.00009118826,0.0001600221,0.0006435152,0.0002656162,0.00700593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004352909,"threshold_uncertainty_score":0.01456189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536129796790496,"score_gpt":0.3168847105443789,"score_spread":0.301523412576474,"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."}}