{"id":"W4406521266","doi":"10.1016/s0029-7437(09)70095-3","title":"10.1016/s0029-7437(09)70095-3","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":"Index (typography); Malignancy; Medicine; Internal medicine; Computer science","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":[0.001354491,0.003196956,0.002395681,0.003446489,0.002525169,0.003839645,0.003658297,0.006570919,0.9903324],"category_scores_gemma":[0.001977023,0.001084821,0.001691193,0.002693878,0.002465279,0.005508224,0.003409377,0.003393284,0.9930415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125584,"about_ca_system_score_gemma":0.001496212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004669817,"about_ca_topic_score_gemma":0.003689086,"domain_scores_codex":[0.999215,0.00006095624,0.0000659947,0.0002668459,0.000188057,0.000203152],"domain_scores_gemma":[0.9973248,0.0007256165,0.0001701974,0.0002331982,0.0004643925,0.001081658],"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":[0.0005106092,0.0003715656,0.001370449,0.0008072539,0.00004545556,0.0003418162,0.0001439713,0.00061747,0.002043325,0.006762671,0.3515195,0.635466],"study_design_scores_gemma":[0.0000820867,0.0001942584,0.001132944,0.0004964669,0.00001583439,0.0004140002,0.0001458498,0.0002706394,0.0003427999,0.0007098807,0.9961644,0.00003086597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000526257,0.0004300794,0.0005253161,0.0004467981,0.000332471,0.000124995,0.0008333642,0.0006081187,0.9961726],"genre_scores_gemma":[0.0006220447,0.0001989865,0.0003352559,0.0002351841,0.00009004756,0.00007203983,0.0004417092,0.0001418411,0.9978629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009667575,"threshold_uncertainty_score":0.01378959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671502784973173,"score_gpt":0.2542004750730479,"score_spread":0.2274854472233162,"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."}}