{"id":"W6939483506","doi":"10.6084/m9.figshare.19785616.v1","title":"Additional file 1 of Clinician based decision tool to guide recommended interval between colonoscopies: development and evaluation pilot study","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Interval (graph theory); Interval data; MEDLINE; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004526457,0.0006437991,0.0009585028,0.001568816,0.0007218063,0.001281454,0.001588356,0.0009751344,0.8333795],"category_scores_gemma":[0.09426814,0.0004823582,0.001079112,0.002015127,0.0002384182,0.001787989,0.0009935678,0.001170001,0.1339972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467159,"about_ca_system_score_gemma":0.002602537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750489,"about_ca_topic_score_gemma":0.008945016,"domain_scores_codex":[0.9978768,0.0008196571,0.0004777718,0.0002494966,0.0004019015,0.0001744339],"domain_scores_gemma":[0.9140532,0.06864688,0.004450299,0.002184626,0.009301605,0.001363425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00148813,0.0002668334,0.003399133,0.002572158,0.00004075569,0.00004133047,0.00009603357,0.0002256747,0.00002336582,0.0005763075,0.9647927,0.02647763],"study_design_scores_gemma":[0.03700098,0.002167807,0.1029007,0.0164058,0.0006894593,0.001007309,0.001562877,0.004696257,0.001346297,0.01540162,0.8164536,0.000367287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001734313,0.00009583889,0.001186745,0.001036356,0.0001130158,0.003073144,0.9840826,0.0006498866,0.008028228],"genre_scores_gemma":[0.08578524,0.000782017,0.02745425,0.004652308,0.0007359259,0.07083402,0.7408768,0.002180476,0.06669897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333795,"threshold_uncertainty_score":0.2376639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333163634849063,"score_gpt":0.3728195540631958,"score_spread":0.2395031905782895,"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."}}