{"id":"W4386779542","doi":"10.3390/curroncol30090614","title":"The Impact of Oral Antibiotics Prior to Cancer Diagnosis on Overall Patient Survival: Findings from an English Population-Based Cohort Study","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Medicine; Cancer; Internal medicine; Antibiotics; Cancer registry; Cohort; Hazard ratio; Population; Colorectal cancer; Breast cancer; Medical prescription; Proportional hazards model; Ovarian cancer; Oncology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002369078,0.0002914178,0.0005634368,0.0007771838,0.0005278679,0.001119985,0.0005384219,0.0004730566,0.001859079],"category_scores_gemma":[0.005293967,0.0003887891,0.001030097,0.001498997,0.0003712175,0.0006497199,0.0009167704,0.0005960393,0.0002524834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067093,"about_ca_system_score_gemma":0.0006506004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037088,"about_ca_topic_score_gemma":0.02452412,"domain_scores_codex":[0.9984328,0.0005307121,0.0001998348,0.000417635,0.0002030356,0.0002159382],"domain_scores_gemma":[0.9954087,0.001148075,0.001609061,0.0006800891,0.0006120303,0.0005419517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937902,0.00002947524,0.9982557,0.00002515829,0.0001746551,0.0001343958,0.0002844327,0.00001381638,0.00009088752,0.00001429075,0.0001124183,0.0006709369],"study_design_scores_gemma":[0.00001369608,0.00006404218,0.9990811,0.00001393276,0.0001153327,0.0001381447,0.0002956018,0.00005019303,0.00001524624,0.00001058637,0.0001976178,0.000004578741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998042,0.0005975082,0.000111695,0.00009610274,0.000008833171,0.00001529665,0.0008112548,0.000002755771,0.0003145671],"genre_scores_gemma":[0.9988835,0.0003080195,0.00008094466,0.00007072937,0.00001240547,0.00001680498,0.0004600175,0.000003261451,0.0001642695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02037088,"threshold_uncertainty_score":0.04050457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05536673563668184,"score_gpt":0.4290320411916231,"score_spread":0.3736653055549413,"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."}}