{"id":"W4406417387","doi":"10.1016/j.ysur.2014.02.066","title":"10.1016/j.ysur.2014.02.066","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Colonoscopy; Colorectal cancer; Computed tomographic; Radiology; Virtual colonoscopy; General surgery; Cancer; Internal medicine; Computed tomography","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":[0.0007515144,0.001015433,0.000477318,0.001707041,0.0008401889,0.002288213,0.0008200618,0.002963222,0.8967521],"category_scores_gemma":[0.001802283,0.0003736845,0.0005995482,0.0007603876,0.0007398983,0.001954417,0.00118805,0.001323746,0.8307657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007724278,"about_ca_system_score_gemma":0.001159306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587861,"about_ca_topic_score_gemma":0.002394059,"domain_scores_codex":[0.999709,0.00002841111,0.00002775699,0.00008330684,0.00007800865,0.00007349082],"domain_scores_gemma":[0.9990348,0.0001840022,0.0001392454,0.00005379877,0.0001835999,0.0004046156],"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":[0.0003130806,0.0003583315,0.008848378,0.000503275,0.00004239344,0.0004072665,0.000123085,0.0002671789,0.0006598269,0.004603646,0.2696016,0.7142719],"study_design_scores_gemma":[0.00009016479,0.000203317,0.01090348,0.001272827,0.00006882598,0.003771417,0.0004240858,0.0004713595,0.000583994,0.005764946,0.9764045,0.00004110265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009710195,0.01507771,0.004000949,0.01183013,0.003331149,0.0001520465,0.004841508,0.002122806,0.9489336],"genre_scores_gemma":[0.02372382,0.005452609,0.002702903,0.002666409,0.001031215,0.00009899639,0.00258599,0.0003597614,0.9613783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1032479,"threshold_uncertainty_score":0.1472707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00715064760461278,"score_gpt":0.1996351025331912,"score_spread":0.1924844549285784,"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."}}