{"id":"W6925439584","doi":"10.17863/cam.72466","title":"Personalized risk assessment for prevention and early detection of breast cancer: Integration and implementation (PERSPECTIVE I&amp;I)","year":2021,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Risk assessment; Context (archaeology); Breast cancer screening; Identification (biology); Cancer screening; Health care; Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03293172,0.0006744353,0.0006130455,0.0009411886,0.003003291,0.006808831,0.002725527,0.009380982,0.004524184],"category_scores_gemma":[0.05825308,0.0003651005,0.002004051,0.0008640738,0.007070126,0.002819431,0.005275508,0.009781284,0.0008698194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02637931,"about_ca_system_score_gemma":0.1420094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4300725,"about_ca_topic_score_gemma":0.4663045,"domain_scores_codex":[0.956089,0.02458713,0.001430432,0.001755593,0.01326468,0.002873192],"domain_scores_gemma":[0.954272,0.02010111,0.001974914,0.001900831,0.01768467,0.004066433],"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":[0.0001402979,0.0002151681,0.005397794,0.004126449,0.0002080949,0.0006069025,0.01211729,0.002138217,0.001017985,0.2272847,0.3859501,0.360797],"study_design_scores_gemma":[0.00009473726,0.0002674922,0.008242762,0.00641726,0.0003018621,0.0004163815,0.003499557,0.0009056218,0.001646796,0.0380772,0.9399984,0.0001319415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002401682,0.02050063,0.01102785,0.9127978,0.004184017,0.0004405412,0.0002766715,0.0001066297,0.04826421],"genre_scores_gemma":[0.1154409,0.05662383,0.05872327,0.733731,0.008706927,0.001406363,0.0005059653,0.0001449149,0.02471697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4300725,"threshold_uncertainty_score":0.8551385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136337729835351,"score_gpt":0.3028183390303008,"score_spread":0.2891845660467657,"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."}}