{"id":"W4405705474","doi":"","title":"The Canadian Genomics Research Initiative on AMR","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Computer science; Data science; Genome; Biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103733,0.001226436,0.001146831,0.002864632,0.004944191,0.005168812,0.002899211,0.003804854,0.1255674],"category_scores_gemma":[0.009496508,0.0003497966,0.0009875176,0.003759921,0.002614408,0.00170024,0.003367757,0.003493345,0.02566178],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05069449,"about_ca_system_score_gemma":0.1937349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8643004,"about_ca_topic_score_gemma":0.8776115,"domain_scores_codex":[0.9910748,0.0007365427,0.0001126327,0.0007730317,0.004908934,0.002394094],"domain_scores_gemma":[0.9745871,0.001134177,0.0003533096,0.0006647946,0.01325662,0.01000409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001175634,0.00003223135,0.0004731969,0.0001394046,0.000008122716,0.00006824535,0.0001183648,0.00007083797,0.0008536777,0.02823015,0.9241817,0.0457066],"study_design_scores_gemma":[0.00001659041,0.00001583422,0.002235672,0.00008816853,0.000004908336,0.00002924481,0.0001364031,0.00006767256,0.0001655634,0.00121882,0.9960115,0.000009652655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004348516,0.01622229,0.003467587,0.3147483,0.01935422,0.0006299733,0.01894611,0.001961985,0.620321],"genre_scores_gemma":[0.02953329,0.01195755,0.008212401,0.04965282,0.002365008,0.0002740787,0.01315128,0.00055383,0.8842996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9493055,"threshold_uncertainty_score":0.4200649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591054014329348,"score_gpt":0.2937131487448976,"score_spread":0.2678026086016042,"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."}}