{"id":"W2945464641","doi":"","title":"Data Base on Breast Cancer","year":2017,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Breast cancer; Debt; Actuarial science; Cancer; Political science; Demography; Medicine; Economics; Sociology; Finance","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":[0.002140042,0.0007851584,0.00238389,0.005247633,0.000668884,0.001922141,0.001841189,0.00112997,0.07046482],"category_scores_gemma":[0.0217875,0.0006032765,0.0009786097,0.01358776,0.000267665,0.001002633,0.001304348,0.001275087,0.03927873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160681,"about_ca_system_score_gemma":0.004490595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03378431,"about_ca_topic_score_gemma":0.02733711,"domain_scores_codex":[0.9973193,0.0003577161,0.0008680313,0.0006545564,0.0005963109,0.0002040595],"domain_scores_gemma":[0.9828876,0.005386956,0.002673118,0.001904419,0.006128614,0.001019198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001586126,0.00007539765,0.01755118,0.004173268,0.000582055,0.0001650503,0.00007797196,0.0005781812,0.0004709783,0.001183268,0.9469458,0.02661078],"study_design_scores_gemma":[0.001403913,0.0001565819,0.08487561,0.00195274,0.0005202929,0.0003505068,0.000168962,0.0004077885,0.0008725565,0.001774896,0.9074486,0.00006749001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005340128,0.0003041409,0.0001057537,0.0001470209,0.00003479527,0.00004244604,0.9974125,0.00007112952,0.001348282],"genre_scores_gemma":[0.003120924,0.0005433031,0.000244613,0.0002057954,0.00003776493,0.0002731962,0.9944898,0.00003222526,0.001052444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07046482,"threshold_uncertainty_score":0.2357283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1826812363099367,"score_gpt":0.4873886424535,"score_spread":0.3047074061435633,"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."}}