{"id":"W4406500762","doi":"10.1016/j.ymed.2016.08.053","title":"10.1016/j.ymed.2016.08.053","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Colonoscopy; Colorectal cancer; General surgery; Interval (graph theory); Internal medicine; Oncology; Cancer; Combinatorics; 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":[0.0005401222,0.0007650185,0.0004031328,0.001204413,0.0007420962,0.001939187,0.0007213321,0.002636301,0.8760308],"category_scores_gemma":[0.001530355,0.0003069262,0.0004844714,0.0005808693,0.0006061543,0.00166522,0.0009135028,0.001303355,0.7863375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007484608,"about_ca_system_score_gemma":0.001109948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388826,"about_ca_topic_score_gemma":0.002456303,"domain_scores_codex":[0.9997608,0.00002540348,0.00002365364,0.00005893442,0.00006134128,0.00006987726],"domain_scores_gemma":[0.9992042,0.0001384459,0.0001051676,0.00003672908,0.0001395189,0.0003759337],"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":[0.0004340441,0.0004108807,0.01258477,0.0005153226,0.00004586992,0.0006203763,0.0001156352,0.0001900052,0.0005377174,0.00347821,0.3562007,0.6248665],"study_design_scores_gemma":[0.0001189206,0.000214646,0.01405296,0.001426036,0.000059878,0.005046795,0.0004160674,0.0003115109,0.0004701239,0.004147029,0.973703,0.00003301698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01001422,0.0191463,0.001965901,0.01617628,0.003838911,0.0001239562,0.00533484,0.001200366,0.9421992],"genre_scores_gemma":[0.03072004,0.007280494,0.001751764,0.003339077,0.001445266,0.00009473014,0.002646434,0.0002298802,0.9524924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1239692,"threshold_uncertainty_score":0.176827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007652189874716784,"score_gpt":0.2014247772967886,"score_spread":0.1937725874220719,"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."}}