{"id":"W4413161786","doi":"10.1016/j.cmicom.2025.105130","title":"Communicable episode 32: Fluoroquinolones--to heal or harm?","year":2025,"lang":"en","type":"article","venue":"CMI Communications","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Harm; Medicine; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210867,0.0001466578,0.0001936813,0.0000848571,0.0003786624,0.00004173238,0.001876694,0.0001140334,0.00007106228],"category_scores_gemma":[0.0002317953,0.0001387641,0.0000700712,0.0004013114,0.0001839559,0.000003563775,0.001334663,0.00014619,0.0001033311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006499533,"about_ca_system_score_gemma":0.0001684536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001819249,"about_ca_topic_score_gemma":0.0008916522,"domain_scores_codex":[0.9989462,0.0002024239,0.0002707904,0.0002427653,0.00007706991,0.0002607777],"domain_scores_gemma":[0.9958791,0.00005750162,0.00004864807,0.003780796,0.0001353447,0.00009859878],"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":[0.0004669011,0.001416243,0.01388322,0.0001078442,0.0005214908,0.000001551035,0.0008139725,0.0004088063,0.1526604,0.03501237,0.6534274,0.1412798],"study_design_scores_gemma":[0.0004735716,0.00006922276,0.005304326,0.00002617749,0.00003071594,0.000002425466,0.0002608659,0.0001025843,0.007643513,0.0003997496,0.9855107,0.0001761496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3942041,0.08007199,0.03513679,0.09655957,0.001441814,0.003334545,0.0003522438,0.0003375592,0.3885614],"genre_scores_gemma":[0.9418988,0.006160125,0.02598783,0.005820265,0.00004845574,0.0002889208,0.0004751697,0.00002935274,0.01929114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5476946,"threshold_uncertainty_score":0.5658635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874769846278964,"score_gpt":0.3459085658899767,"score_spread":0.3171608674271871,"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."}}