{"id":"W2892182512","doi":"10.2217/cer-2018-0006","title":"M-bioscore: proposing a new statistical model for prognostic factors in metastatic breast cancer patients","year":2018,"lang":"en","type":"article","venue":"Journal of Comparative Effectiveness Research","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Proportional hazards model; Breast cancer; Oncology; Internal medicine; Hazard ratio; Cohort; Multivariate analysis; Cancer; Multivariate statistics; Metastatic breast cancer; Survival analysis; Confidence interval; Statistics","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":[0.0006782897,0.0001828122,0.0004258523,0.0001918558,0.0001473319,0.00003714348,0.0001848064,0.00004957712,0.000009019191],"category_scores_gemma":[0.0002958352,0.0001326314,0.00008098216,0.0002507913,0.000325872,0.00002025804,0.00008899053,0.000203573,0.00000161399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002474718,"about_ca_system_score_gemma":0.0007540605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001033631,"about_ca_topic_score_gemma":0.0002349761,"domain_scores_codex":[0.9980561,0.0005436051,0.0003143503,0.0002677843,0.0004295777,0.0003885465],"domain_scores_gemma":[0.9974517,0.0005751163,0.0001516887,0.0001093478,0.001573781,0.0001383946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01178863,0.001748609,0.9424167,0.000243378,0.0008987369,0.000008321083,0.002361072,0.001772181,0.03296624,0.0003216818,0.001832752,0.003641684],"study_design_scores_gemma":[0.004305548,0.002588076,0.9416963,0.0003394479,0.00006925649,0.00001122203,0.0002038723,0.003446163,0.04573509,0.001347237,0.00006806263,0.0001896922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623511,0.0003002787,0.03609923,0.00007623322,0.0001210777,0.0008683254,0.0001581118,0.000002057666,0.00002357207],"genre_scores_gemma":[0.9980825,0.00002404871,0.001518789,0.000007762656,0.0002063473,0.0001012526,0.00001987624,0.000019381,0.00002006153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03573137,"threshold_uncertainty_score":0.5408553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123983302583288,"score_gpt":0.4605677933065128,"score_spread":0.348169463048184,"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."}}