{"id":"W4392296487","doi":"","title":"Severe intraventricular hemorrhage in preterm infants : prevention et consequences. From Epipage 2 study","year":2020,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intraventricular hemorrhage; Medicine; Gestational age; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001513583,0.001076629,0.002116395,0.0003024546,0.000109246,0.00009938467,0.0009702676,0.0009314234,0.0028966],"category_scores_gemma":[0.001245091,0.001015065,0.0004733057,0.000569917,0.0006153718,0.0002731783,0.001719463,0.00286679,0.001409632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441509,"about_ca_system_score_gemma":0.0005428486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007476999,"about_ca_topic_score_gemma":0.0009115572,"domain_scores_codex":[0.9922972,0.0020955,0.001623532,0.002003456,0.0008957676,0.001084594],"domain_scores_gemma":[0.9964174,0.0008296611,0.0006820556,0.001392866,0.0001269715,0.0005510327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006048826,0.01455289,0.2652822,0.006251033,0.004052074,0.1999808,0.1595159,0.0009298791,0.04507454,0.02508709,0.0002702254,0.2729546],"study_design_scores_gemma":[0.02884444,0.006507228,0.7382998,0.01197336,0.004413605,0.003802531,0.04611208,0.004331843,0.01122586,0.1278489,0.01111511,0.005525243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961215,0.006018348,0.0007398177,0.002730284,0.002333319,0.005324792,0.0007794171,0.0001909105,0.02066811],"genre_scores_gemma":[0.9935715,0.0008213161,0.001459935,0.001253259,0.0008037341,0.0003604743,0.0008808415,0.0001206722,0.0007283102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4730175,"threshold_uncertainty_score":0.9994336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755879760256324,"score_gpt":0.3063436922052638,"score_spread":0.2687848946027006,"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."}}