{"id":"W4252907562","doi":"10.21236/ada614938","title":"Building a Better Model: A Comprehensive Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Apply Resources","year":2014,"lang":"en","type":"report","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Risk model; Oncology; Medicine; Internal medicine; Computer science; Cancer; Risk analysis (engineering)","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":[0.002095695,0.000963239,0.000803307,0.001188619,0.0004716556,0.001438227,0.001476479,0.0008723805,0.00443002],"category_scores_gemma":[0.005946143,0.0005751419,0.001603112,0.0007357947,0.0002604269,0.001254173,0.001098184,0.0009481316,0.0007317198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570906,"about_ca_system_score_gemma":0.002245659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03783102,"about_ca_topic_score_gemma":0.03922964,"domain_scores_codex":[0.9993191,0.0002877422,0.00004296296,0.0001728804,0.000116511,0.00006074948],"domain_scores_gemma":[0.9980692,0.001239552,0.0001332826,0.0001672071,0.0003036619,0.00008717002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003092892,0.0004050349,0.1046637,0.0002190701,0.0004951627,0.0002156583,0.0004001171,0.7903007,0.001335545,0.006175221,0.008503179,0.08697738],"study_design_scores_gemma":[0.00005320837,0.0001106983,0.007588523,0.00005300528,0.0001532773,0.0001107979,0.00008448236,0.982784,0.0004321005,0.005258838,0.003331318,0.00003971783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2738601,0.0004509292,0.699341,0.002698231,0.0001188599,0.0009734535,0.008801405,0.004275638,0.009480414],"genre_scores_gemma":[0.6057732,0.0003609705,0.3837312,0.0004477278,0.00005401548,0.0007592508,0.004786624,0.0002259395,0.003861056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03783102,"threshold_uncertainty_score":0.0752216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0623597096072114,"score_gpt":0.34499613998512,"score_spread":0.2826364303779086,"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."}}