{"id":"W4361005867","doi":"10.3390/cancers15071995","title":"Outcomes of Rural Men with Breast Cancer: A Multicenter Population Based Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Male Breast Health Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Saskatchewan Cancer Agency; University of Saskatchewan","funders":"Saskatchewan Cancer Agency; Mach-Gaensslen Foundation of Canada","keywords":"Medicine; Breast cancer; Internal medicine; Hazard ratio; Retrospective cohort study; Proportional hazards model; Cancer; Population; Stage (stratigraphy); Cohort; Gynecology; Oncology; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007294446,0.0003006327,0.0003452293,0.0007360837,0.0005817247,0.0005648691,0.0003504237,0.0002805973,0.001043694],"category_scores_gemma":[0.001152794,0.0003698282,0.0003079139,0.001077666,0.0003008755,0.0004915014,0.0006041681,0.0004169762,0.0002598411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250477,"about_ca_system_score_gemma":0.0005681079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249459,"about_ca_topic_score_gemma":0.0169597,"domain_scores_codex":[0.9995832,0.0001288536,0.00003038096,0.0001058227,0.00007052691,0.00008121245],"domain_scores_gemma":[0.9991266,0.00009283327,0.0003771887,0.0001019624,0.0001169586,0.0001843785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006501179,0.0000295033,0.9991258,0.000004387566,0.00003135424,0.00008399435,0.0001010336,0.00001420187,0.0001200952,0.000008128572,0.00006824655,0.0003483178],"study_design_scores_gemma":[0.00001832939,0.0001744978,0.9983633,0.000005412563,0.00003591764,0.0004316764,0.0005632866,0.0001295756,0.00003836913,0.0000154787,0.0002191918,0.000004904176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994096,0.00006410325,0.00005547357,0.00002153009,0.000002152809,0.00001269282,0.0002882143,0.000001880439,0.0001443844],"genre_scores_gemma":[0.9994574,0.00007511704,0.00005853057,0.00002661745,0.00000631633,0.00001455951,0.0002996352,0.000001231825,0.00006067329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249459,"threshold_uncertainty_score":0.02484375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143567623555069,"score_gpt":0.3231949869072437,"score_spread":0.3088382245517368,"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."}}