{"id":"W4406542240","doi":"10.1016/s0029-7437(11)70001-5","title":"10.1016/s0029-7437(11)70001-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mammography; Medicine; Breast MRI; Radiology; Breast cancer; Internal medicine; Cancer","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":[0.001293532,0.00319209,0.002350735,0.00340848,0.002500376,0.003783356,0.003771115,0.006896241,0.9900751],"category_scores_gemma":[0.0018984,0.001106688,0.00179937,0.002641766,0.002233681,0.005348621,0.003433634,0.003344334,0.9929662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217855,"about_ca_system_score_gemma":0.00143745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004042855,"about_ca_topic_score_gemma":0.003362005,"domain_scores_codex":[0.9992266,0.00005859758,0.00006686382,0.0002527395,0.0001979216,0.0001973089],"domain_scores_gemma":[0.9975429,0.0006831115,0.0001577548,0.0002103719,0.0004202943,0.0009856046],"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":[0.0004575119,0.0003348734,0.001085263,0.0008290618,0.00004055142,0.0003034975,0.0001241138,0.0005375462,0.001931088,0.006134277,0.3460518,0.6421704],"study_design_scores_gemma":[0.00007150435,0.000169197,0.0009268904,0.0004612456,0.00001338274,0.0003423173,0.0001188311,0.0002097447,0.0003178906,0.0006227683,0.9967193,0.0000268726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004502165,0.0004499081,0.0004915344,0.0004310735,0.000366239,0.0001143905,0.0007779773,0.0005461881,0.9963726],"genre_scores_gemma":[0.0005390244,0.0002126206,0.0003036329,0.0002224332,0.00009593181,0.00006936792,0.0004062239,0.0001228101,0.998028],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009924948,"threshold_uncertainty_score":0.01415676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261099623849967,"score_gpt":0.2533154850085952,"score_spread":0.2272055226235985,"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."}}