{"id":"W4406395459","doi":"10.1016/s0029-7437(10)70001-x","title":"10.1016/s0029-7437(10)70001-x","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; Medical physics; Medicine; Risk analysis (engineering); Computer science; Breast cancer; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001171614,0.002885302,0.001982879,0.003061309,0.002243438,0.003314701,0.00331449,0.006254881,0.9888918],"category_scores_gemma":[0.001758136,0.000971193,0.001482895,0.002304847,0.001989665,0.004783816,0.002958406,0.003095895,0.9918481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112564,"about_ca_system_score_gemma":0.001316721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004250121,"about_ca_topic_score_gemma":0.003435469,"domain_scores_codex":[0.9993356,0.00005108011,0.00005722404,0.0002137328,0.0001770288,0.0001653882],"domain_scores_gemma":[0.9977745,0.0006109223,0.0001445699,0.0001939419,0.0003597419,0.0009163718],"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":[0.0004058855,0.0003198893,0.001059684,0.0007819851,0.00003405722,0.0002729431,0.0001154764,0.0004647375,0.001775102,0.006083726,0.3623673,0.6263192],"study_design_scores_gemma":[0.00006074616,0.0001359962,0.0009986617,0.0003777198,0.00001186486,0.0003115391,0.0001061683,0.0001813485,0.0002964175,0.000598108,0.9968991,0.00002248942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004456942,0.0004662625,0.0004374223,0.000446361,0.0003646949,0.0001029162,0.0007266263,0.0004907465,0.9965192],"genre_scores_gemma":[0.0005455061,0.0002204437,0.0003049449,0.0002194779,0.0001018536,0.00006281105,0.0003848847,0.000116651,0.9980434],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01110822,"threshold_uncertainty_score":0.01584452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749389508439423,"score_gpt":0.2545822563452363,"score_spread":0.2270883612608421,"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."}}