{"id":"W4406547658","doi":"10.1016/j.yobg.2013.05.095","title":"10.1016/j.yobg.2013.05.095","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Estimation; MAMMOGRAPHIC DENSITY; Cancer; Population; Breast density; Oncology; Gynecology; Mammography; Statistics; Internal medicine; Environmental health; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000633012,0.001101436,0.0005506759,0.001495524,0.0008513952,0.00217831,0.0008960923,0.003212823,0.8892834],"category_scores_gemma":[0.001249264,0.0004653718,0.0005548545,0.0006707899,0.0008618474,0.002104224,0.001080971,0.001462352,0.8345286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006109559,"about_ca_system_score_gemma":0.0009653111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196372,"about_ca_topic_score_gemma":0.002126057,"domain_scores_codex":[0.9997689,0.0000202894,0.00001735691,0.00007083887,0.00006666694,0.00005597737],"domain_scores_gemma":[0.9991689,0.0001634372,0.0001031801,0.00004887942,0.0002004584,0.0003152092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003228354,0.000290086,0.005227635,0.0004983762,0.00004083717,0.0005895988,0.0001029631,0.0001722276,0.001222536,0.003801887,0.2463034,0.7414275],"study_design_scores_gemma":[0.00009212427,0.0002101931,0.007843941,0.001301764,0.00006100864,0.005860009,0.0003377386,0.0003611099,0.0007562298,0.005252631,0.9778842,0.00003902082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007758208,0.01919631,0.003100125,0.007704369,0.002995772,0.0001207431,0.002571528,0.001726271,0.9548267],"genre_scores_gemma":[0.01777093,0.007026528,0.002350283,0.002875898,0.001033042,0.00009062646,0.0016548,0.000327017,0.966871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1107166,"threshold_uncertainty_score":0.1579237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004985663400157592,"score_gpt":0.1831010723819045,"score_spread":0.1781154089817469,"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."}}