{"id":"W4404523933","doi":"10.54932/ugam2302","title":"Could reliable data on breast cancer actually save lives?","year":2024,"lang":"en","type":"report","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Computer science; Internet privacy; Data science; Computer security; Cancer; Medicine; Internal medicine","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":[0.01984994,0.0005928772,0.0004669872,0.001895745,0.001213824,0.003733398,0.00153998,0.002427292,0.01681011],"category_scores_gemma":[0.07501429,0.0003088185,0.0006367763,0.004310714,0.002129196,0.004597157,0.001893066,0.002685291,0.004084875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01181473,"about_ca_system_score_gemma":0.03101174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6324444,"about_ca_topic_score_gemma":0.7105474,"domain_scores_codex":[0.9867277,0.006167785,0.0005327101,0.0005828995,0.004201241,0.001787618],"domain_scores_gemma":[0.94186,0.02218748,0.003672361,0.004965042,0.02198156,0.005333509],"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":[0.0001215045,0.00006155307,0.06304499,0.0004582296,0.0001114044,0.0001734599,0.0008150659,0.000378817,0.0001704305,0.03234139,0.7273186,0.1750045],"study_design_scores_gemma":[0.00005123204,0.00008959072,0.07536252,0.001602907,0.00009083223,0.0002356811,0.002355416,0.0003782151,0.0004090683,0.01087057,0.9084793,0.00007474056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007144422,0.01107111,0.001102141,0.8887793,0.004636466,0.000101438,0.01674261,0.0001382738,0.0702842],"genre_scores_gemma":[0.4053587,0.07438753,0.01793742,0.3687255,0.00872714,0.0005449913,0.03265219,0.0004123671,0.09125413],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6324444,"threshold_uncertainty_score":0.7394403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0406150886708037,"score_gpt":0.3377846669929817,"score_spread":0.2971695783221779,"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."}}