{"id":"W4234476991","doi":"10.1093/jicru_ndp019","title":"3. Production of the Mammogram","year":2009,"lang":"en","type":"article","venue":"Journal of the ICRU","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Computer science; Economics","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":[0.002048131,0.0005581809,0.0003063675,0.002075515,0.0009938816,0.002415627,0.0009243416,0.001896625,0.1328764],"category_scores_gemma":[0.008359849,0.0004440516,0.000762546,0.0007990504,0.0003530187,0.0007072728,0.001393067,0.0009522044,0.1682819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009100075,"about_ca_system_score_gemma":0.002399167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004859772,"about_ca_topic_score_gemma":0.005663957,"domain_scores_codex":[0.998621,0.000261058,0.0001325422,0.0001352841,0.0006654692,0.0001847642],"domain_scores_gemma":[0.9947051,0.0008414559,0.0003194981,0.0009790178,0.002702568,0.0004524436],"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":[0.0005199521,0.0001722596,0.00763627,0.0003533094,0.00001683715,0.001454542,0.0003571194,0.0003765199,0.02009491,0.007796111,0.5252198,0.4360024],"study_design_scores_gemma":[0.00006851165,0.0002364747,0.01395024,0.0001854867,0.0000285853,0.001181022,0.0002483909,0.00108629,0.02095677,0.00315159,0.9588517,0.00005497878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01500724,0.001463801,0.1048911,0.02433056,0.01089626,0.003113536,0.01863615,0.01908238,0.8025789],"genre_scores_gemma":[0.1107468,0.001961455,0.1820317,0.008287764,0.008171091,0.001659015,0.01730316,0.005559514,0.6642794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1328764,"threshold_uncertainty_score":0.4445158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015303618416148,"score_gpt":0.329628199936322,"score_spread":0.2794751637521605,"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."}}