{"id":"W4247627871","doi":"10.1007/978-94-007-0753-5_100296","title":"Biomedical Model of Qol and Breast Cancer","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Breast cancer; Medicine; Cancer; Oncology; Internal medicine","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":[0.0002966752,0.0004822662,0.0003267904,0.0005991882,0.0002803983,0.0007612848,0.0006533478,0.0005605774,0.01165043],"category_scores_gemma":[0.0008967718,0.0001535314,0.000462453,0.0005739997,0.0006966362,0.0008696242,0.0004366419,0.001150794,0.003004541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266774,"about_ca_system_score_gemma":0.0007636928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003867901,"about_ca_topic_score_gemma":0.003806702,"domain_scores_codex":[0.9999164,0.00003250236,0.000003225314,0.00001233481,0.00002858062,0.000006850197],"domain_scores_gemma":[0.9998682,0.00007718118,0.000008615781,0.00001074962,0.00002552525,0.000009835045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006727769,0.00001440406,0.0002444548,0.00008230613,0.00001215862,0.00006559201,0.00008498337,0.008997095,0.0002751831,0.906527,0.03680804,0.0468821],"study_design_scores_gemma":[0.00000647377,0.00001158853,0.0004179888,0.00006327342,0.00001560681,0.0003033006,0.0000518389,0.02843333,0.0001862539,0.8512302,0.1192672,0.00001286072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01110676,0.01877679,0.4448272,0.0467154,0.002649491,0.00007814281,0.003318872,0.0004436717,0.4720836],"genre_scores_gemma":[0.3245336,0.03707268,0.1657876,0.008816957,0.00280003,0.0004562814,0.003019112,0.0002481184,0.4572658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01165043,"threshold_uncertainty_score":0.03897464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867888886705373,"score_gpt":0.2901720268561699,"score_spread":0.2614931379891162,"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."}}