{"id":"W1993906278","doi":"10.1016/s0150-9861(05)83079-2","title":"CO-53 Variabilité interobservateur dans l’évaluation de l’architecture des mav cérébrales et du résultat du traitement endovasculaire","year":2005,"lang":"fr","type":"article","venue":"Journal of Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Notre-Dame","funders":"","keywords":"Medicine; Physics","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":[0.005267434,0.00071459,0.001085166,0.002497746,0.0006987862,0.003317985,0.0007583332,0.001249439,0.003188049],"category_scores_gemma":[0.01889037,0.0004129125,0.001152412,0.00153561,0.0008485896,0.00169064,0.0007343825,0.001175358,0.000952184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270998,"about_ca_system_score_gemma":0.0008868804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005506163,"about_ca_topic_score_gemma":0.00566811,"domain_scores_codex":[0.9964775,0.00122729,0.0003890291,0.0004606606,0.0008421609,0.0006032323],"domain_scores_gemma":[0.989292,0.00611349,0.001887809,0.0008878117,0.001361645,0.0004572764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005013947,0.0001217716,0.9003575,0.0001400664,0.0008804536,0.001738502,0.0006667924,0.00296314,0.008826819,0.0009726809,0.0009151741,0.07740308],"study_design_scores_gemma":[0.00005783157,0.0006251825,0.9684958,0.00007353129,0.0006674374,0.003880146,0.0003747039,0.01220567,0.008578252,0.0009749798,0.003987889,0.00007861928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781644,0.004105702,0.0122825,0.0003965077,0.0001479687,0.00004099019,0.0003655112,0.0001483801,0.004347983],"genre_scores_gemma":[0.9963745,0.000326554,0.001987562,0.00005002641,0.0001111753,0.00005065199,0.0001756164,0.00009247124,0.0008314142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005506163,"threshold_uncertainty_score":0.02785712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345207238148745,"score_gpt":0.2834100822209335,"score_spread":0.2599580098394461,"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."}}