{"id":"W2129324791","doi":"10.2174/1875036201408010016","title":"Predicting Neutropenia Risk in Breast Cancer Patients from Pre-Chemotherapy Characteristics","year":2014,"lang":"en","type":"article","venue":"The Open Bioinformatics Journal","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Febrile neutropenia; Medicine; Odds ratio; Neutropenia; Breast cancer; Internal medicine; Chemotherapy; Cancer; Surgery; Oncology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041125,0.0003724237,0.0003501923,0.00106911,0.0001656465,0.0004753042,0.0003170977,0.0004615009,0.001090815],"category_scores_gemma":[0.00491796,0.0001731967,0.0008724328,0.0004691882,0.0001225681,0.0002938036,0.0003481361,0.000630579,0.0002758695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003055528,"about_ca_system_score_gemma":0.0003766493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013944,"about_ca_topic_score_gemma":0.006396498,"domain_scores_codex":[0.9996941,0.0001146587,0.00004006156,0.0000476486,0.00006355132,0.00004001219],"domain_scores_gemma":[0.9978205,0.001308145,0.0003631965,0.0001197133,0.000172857,0.0002156939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002057854,0.00003728853,0.995621,0.000004941861,0.00002835971,0.00002735006,0.00001479528,0.0007588618,0.00008837561,0.00001072497,0.00007663428,0.003125841],"study_design_scores_gemma":[0.00002340292,0.0003263324,0.969524,0.00001010141,0.00007458265,0.0002360154,0.00008288491,0.02896309,0.0003286896,0.0001386411,0.0002828446,0.000009378732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988511,0.0001355489,0.0004619291,0.00005951343,0.000008337513,0.00001420983,0.0001747841,0.000009761736,0.000284763],"genre_scores_gemma":[0.9988438,0.00005928702,0.0005406037,0.00001959848,0.000008838278,0.00001106021,0.0003526876,0.000001820839,0.0001622603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013944,"threshold_uncertainty_score":0.007981181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756043574750862,"score_gpt":0.2715187704383582,"score_spread":0.2617627268636074,"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."}}