{"id":"W2468789395","doi":"10.5539/gjhs.v9n2p215","title":"A Comparative Study for Modelling the Survival of Breast Cancer Patients in the West of Iran","year":2016,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vice Chancellor for Research and Technology, Kerman University of Medical Sciences; Hamadan University of Medical Sciences","keywords":"Recursive partitioning; Interpretability; Random forest; Breast cancer; Cancer; Medicine; Algorithm; Mathematics; Statistics; Machine learning; Internal medicine; Computer science","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":[0.002757282,0.0006356945,0.0005991468,0.0007789179,0.0003346836,0.0007765079,0.001101732,0.0007120276,0.001870496],"category_scores_gemma":[0.006495906,0.0002310595,0.001859457,0.000711552,0.0002618373,0.0005319199,0.0005340452,0.000815241,0.0002614978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458703,"about_ca_system_score_gemma":0.001554426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06110984,"about_ca_topic_score_gemma":0.0286306,"domain_scores_codex":[0.9993314,0.0003302793,0.00003273977,0.0001367715,0.00006042562,0.0001085002],"domain_scores_gemma":[0.9978002,0.001358213,0.0001689901,0.0001842051,0.0003718951,0.0001164081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001571514,0.0006159041,0.4991463,0.0002123115,0.0007634173,0.0006176058,0.0007168234,0.4534519,0.0006518282,0.001960954,0.002958864,0.03733254],"study_design_scores_gemma":[0.0000808851,0.0007999642,0.134826,0.00006884954,0.0002743423,0.0003845647,0.001265149,0.8587887,0.0004116441,0.00145623,0.001591571,0.00005219885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938565,0.0003421678,0.003910292,0.0003702879,0.00003448487,0.00005066603,0.0008195027,0.00004027577,0.0005757408],"genre_scores_gemma":[0.9966589,0.0001760601,0.001689773,0.00003431868,0.00001504507,0.00003712568,0.001079486,0.000009227996,0.0003000346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06110984,"threshold_uncertainty_score":0.1215083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08237678906920132,"score_gpt":0.3802447523135812,"score_spread":0.2978679632443799,"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."}}