{"id":"W1780061129","doi":"10.3747/co.22.2883","title":"Mammography, Martin Yaffe, and Me: Response and Appreciation","year":2015,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Constructive; Engineering ethics; Breast cancer; Computer science; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01407983,0.001649109,0.002594859,0.001195991,0.003589006,0.006193395,0.003646871,0.0268079,0.007541304],"category_scores_gemma":[0.106364,0.001271434,0.001478496,0.001103405,0.004324982,0.006582425,0.003830372,0.0496133,0.006172542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00582384,"about_ca_system_score_gemma":0.006049116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006364713,"about_ca_topic_score_gemma":0.008538269,"domain_scores_codex":[0.9924489,0.002866876,0.0005982758,0.001107087,0.002397115,0.0005817956],"domain_scores_gemma":[0.9457167,0.02705999,0.003512518,0.00136749,0.01625481,0.006088514],"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":[0.00002080985,0.000003204579,0.00006886116,0.00005111158,0.000006656991,0.000108658,0.0001286662,0.00001344831,0.00003598348,0.0003903391,0.997393,0.001779204],"study_design_scores_gemma":[0.0000463518,0.00003257914,0.000748053,0.0006772481,0.00002423146,0.001428027,0.0009122015,0.0001324879,0.0001609972,0.001812696,0.9939194,0.0001056818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0000816952,0.004567853,0.0000844027,0.9565769,0.03829292,0.000007069851,0.00002494982,0.00003217671,0.0003320369],"genre_scores_gemma":[0.001872083,0.003209502,0.0002477091,0.9472132,0.04435417,0.00004684744,0.00002120762,0.0000536056,0.00298166],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0268079,"threshold_uncertainty_score":0.07446212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2852958896452582,"score_gpt":0.4664267951836835,"score_spread":0.1811309055384253,"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."}}