{"id":"W4406517208","doi":"10.1016/s0029-7437(09)70438-0","title":"10.1016/s0029-7437(09)70438-0","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":"Medicine; Computational biology; Computer science; Biology","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":[0.001158747,0.002674092,0.001928095,0.003178606,0.002084818,0.003425586,0.003129037,0.005601241,0.9901301],"category_scores_gemma":[0.001829541,0.0009224205,0.001428114,0.00243236,0.001901752,0.004692961,0.003104604,0.002902453,0.9924149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152383,"about_ca_system_score_gemma":0.001398227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004943335,"about_ca_topic_score_gemma":0.003851615,"domain_scores_codex":[0.9993448,0.00005470476,0.00005297729,0.000211668,0.000170141,0.0001657257],"domain_scores_gemma":[0.9975783,0.0006392777,0.0001452621,0.0002233096,0.0004223003,0.0009914844],"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":[0.0003629605,0.0003337502,0.001237266,0.0006130195,0.00003624767,0.0002387406,0.0001073607,0.0004890194,0.0017037,0.005934476,0.3753775,0.6135659],"study_design_scores_gemma":[0.00006452708,0.0001364022,0.001125767,0.0003845128,0.00001193488,0.0002826545,0.0001077111,0.0002226321,0.0002761666,0.0005470551,0.9968166,0.00002406097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000418119,0.0003172693,0.0004222955,0.0003690348,0.0002479937,0.00009799604,0.0007262484,0.0005586546,0.9968424],"genre_scores_gemma":[0.0005562761,0.000174183,0.0003080707,0.0002115591,0.00007665737,0.00006233693,0.0004288454,0.000139701,0.9980423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009869874,"threshold_uncertainty_score":0.0140782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696014449299386,"score_gpt":0.2542427721188958,"score_spread":0.2272826276259019,"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."}}