{"id":"W4406518158","doi":"10.1016/s0029-7437(08)70346-x","title":"10.1016/s0029-7437(08)70346-x","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":"Colonoscopy; Cluster (spacecraft); Medicine; Internal medicine; Computer science; Colorectal cancer; Cancer","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":[0.00106541,0.002670993,0.001806202,0.002845694,0.002177346,0.003275337,0.003155366,0.005283907,0.9885108],"category_scores_gemma":[0.001740215,0.0008547861,0.001358128,0.002183746,0.001947111,0.004305349,0.002854749,0.002850339,0.9915869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035301,"about_ca_system_score_gemma":0.001209769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004307512,"about_ca_topic_score_gemma":0.003285907,"domain_scores_codex":[0.9994053,0.00004677328,0.00004632028,0.0001913389,0.0001549529,0.0001552835],"domain_scores_gemma":[0.9977421,0.0006129456,0.0001396007,0.0002109261,0.000385857,0.0009086515],"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":[0.0004309675,0.000315384,0.001073951,0.0006998235,0.00003859141,0.000282657,0.000126202,0.00045156,0.002171416,0.006156359,0.3736812,0.6145719],"study_design_scores_gemma":[0.00006083787,0.000132917,0.001066233,0.0003147383,0.00001311187,0.0003103937,0.0001184983,0.0002132625,0.0003856931,0.0006179428,0.996745,0.00002145617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004616674,0.0004038774,0.0005321523,0.0003941036,0.0003012393,0.00009668071,0.0006640983,0.0005846133,0.9965615],"genre_scores_gemma":[0.0005905174,0.000183979,0.0003329186,0.0001764139,0.00008241431,0.00005453079,0.0003767156,0.0001330007,0.9980696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01148915,"threshold_uncertainty_score":0.01638782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008987229917409823,"score_gpt":0.2077667575086794,"score_spread":0.1987795275912695,"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."}}