{"id":"W2893398493","doi":"","title":"Vérification de méthode : exemple de la mesure du TQ/TP/INR au laboratoire d'hé- matologie de Lariboisière sur deux analyseurs STAGO « STAR » : l'INR est-il un paramètre robuste ?","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"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":[0.01112005,0.00170458,0.001040919,0.001591711,0.0008779399,0.003103583,0.001498163,0.001839898,0.006396498],"category_scores_gemma":[0.04421137,0.0007108658,0.001503679,0.0008586694,0.001171006,0.001374704,0.001837626,0.001708938,0.003007707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103728,"about_ca_system_score_gemma":0.003466611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009697122,"about_ca_topic_score_gemma":0.005247556,"domain_scores_codex":[0.983938,0.004275947,0.001740912,0.003694267,0.005850664,0.0005002027],"domain_scores_gemma":[0.9671951,0.01872337,0.001578631,0.003783611,0.008425127,0.0002941725],"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":[0.003754296,0.0004305239,0.02945123,0.003078528,0.0008058679,0.002174178,0.002937883,0.1005756,0.1475234,0.01695489,0.01705421,0.6752594],"study_design_scores_gemma":[0.0005344212,0.0009199326,0.01345188,0.0007272732,0.0002541537,0.001585181,0.0007330695,0.6118788,0.2781642,0.01230449,0.07910989,0.0003365368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03500224,0.0008085654,0.9435566,0.0006668671,0.0004187152,0.0004133574,0.0009233948,0.01522639,0.00298387],"genre_scores_gemma":[0.3158973,0.0004628104,0.6711538,0.0005401875,0.00008478112,0.0007774027,0.001716924,0.002394011,0.00697289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01112005,"threshold_uncertainty_score":0.05880916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787779126651708,"score_gpt":0.2552811813945641,"score_spread":0.237403390128047,"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."}}