{"id":"W3048837910","doi":"","title":"Antibiose et antibiorésistance: tuer et ne pas être tué","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"","keywords":"Materials science","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":[0.003270575,0.001159537,0.001780621,0.0008075344,0.0009394474,0.00225941,0.0006174354,0.003540792,0.01610525],"category_scores_gemma":[0.0090144,0.0004729177,0.0008624776,0.0004503948,0.001394851,0.002273199,0.0008088402,0.004450509,0.005325068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162932,"about_ca_system_score_gemma":0.001963023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215086,"about_ca_topic_score_gemma":0.002001991,"domain_scores_codex":[0.9971033,0.0009620235,0.0002390818,0.0003632419,0.0009935354,0.0003388768],"domain_scores_gemma":[0.9938273,0.002427988,0.0008764778,0.001042033,0.001048768,0.000777533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01239613,0.001320527,0.0161056,0.001757958,0.000393949,0.006341585,0.0009647458,0.003264876,0.1744823,0.06186353,0.1177946,0.6033142],"study_design_scores_gemma":[0.001170614,0.003687657,0.09146035,0.001086167,0.000267198,0.02882783,0.000988092,0.01117476,0.1672937,0.08395007,0.6096485,0.0004450572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3748356,0.1114419,0.1440291,0.1465606,0.02853159,0.0008478298,0.005736868,0.007672518,0.1803441],"genre_scores_gemma":[0.7583105,0.01398829,0.05109793,0.005537868,0.005289222,0.0005240856,0.001531134,0.0009121206,0.1628088],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01610525,"threshold_uncertainty_score":0.05387735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183171613971311,"score_gpt":0.237198879101405,"score_spread":0.2253671629616919,"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."}}