{"id":"W1999548666","doi":"10.1016/s0035-3787(04)70871-1","title":"Apports de l’imagerie fonctionnelle MEG et IRMf et de la neurophysiologie dans la compréhension de la dystonie","year":2004,"lang":"fr","type":"article","venue":"Revue Neurologique","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ste. Anne's Hospital","funders":"","keywords":"Myoclonus; Gynecology; Medicine; Anesthesia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001323043,0.00057853,0.000707897,0.0001115344,0.000222309,0.00008524529,0.0002744601,0.001044024,0.0001093805],"category_scores_gemma":[0.001520847,0.0005232724,0.0003500653,0.0002910479,0.0009484178,0.0001424204,0.0002464591,0.00215232,0.00009145201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724433,"about_ca_system_score_gemma":0.0008351035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502698,"about_ca_topic_score_gemma":0.00002144593,"domain_scores_codex":[0.9914894,0.005855408,0.0004813599,0.0009241625,0.0001934162,0.001056217],"domain_scores_gemma":[0.9957526,0.002921044,0.0002345376,0.0005751636,0.00006083913,0.0004557589],"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":[0.00404175,0.01914361,0.171791,0.001702623,0.0005655499,0.2408891,0.003569781,0.08412086,0.365837,0.08465878,0.009886935,0.01379304],"study_design_scores_gemma":[0.007282508,0.009288586,0.813586,0.0004134652,0.0007049036,0.00793229,0.000163663,0.00192449,0.004442685,0.115713,0.03767651,0.0008719086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448353,0.001414242,0.006587411,0.01268847,0.0006490818,0.0006811836,0.00004025824,0.0003817615,0.03272229],"genre_scores_gemma":[0.9616545,0.01205632,0.002084034,0.02309744,0.0002722137,0.0001108851,0.00004181816,0.0001112481,0.0005714954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.641795,"threshold_uncertainty_score":0.9997219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204575842450134,"score_gpt":0.2905487217820545,"score_spread":0.2785029633575532,"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."}}