{"id":"W4393393597","doi":"","title":"Caractérisation génétique et fonctionnelle d'affections canines, modèles de maladies neuromusculaires","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","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":[0.0008102043,0.0006901033,0.0007014574,0.001233114,0.0005140743,0.0007460891,0.0004614974,0.00146647,0.002379644],"category_scores_gemma":[0.0004764328,0.0003784908,0.0006330512,0.0003590468,0.001209065,0.0006839474,0.0003938036,0.001185147,0.000746013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007394947,"about_ca_system_score_gemma":0.0004029346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001808908,"about_ca_topic_score_gemma":0.002310315,"domain_scores_codex":[0.9990506,0.0001746802,0.00006813736,0.0002814219,0.0002658416,0.0001593902],"domain_scores_gemma":[0.9994831,0.0001274148,0.0001130035,0.00005625176,0.00006432372,0.000155852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007947905,0.0005516384,0.001696438,0.0002008036,0.00003982153,0.0006733191,0.0002434697,0.0002176797,0.9904365,0.000764668,0.0004171448,0.003963771],"study_design_scores_gemma":[0.0005120962,0.0112213,0.03280872,0.0001017615,0.0004189119,0.009011759,0.0007682085,0.004332161,0.8970196,0.000743019,0.04296708,0.00009537955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823303,0.006000136,0.006673522,0.0006148862,0.0002946048,0.0002606613,0.001054551,0.0003035843,0.002467674],"genre_scores_gemma":[0.9800447,0.00341645,0.005945875,0.0002173179,0.00008294977,0.0004235408,0.001589263,0.0001180784,0.00816191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002379644,"threshold_uncertainty_score":0.007960737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772899374458468,"score_gpt":0.2653560919730762,"score_spread":0.2476270982284916,"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."}}