{"id":"W6958708223","doi":"10.6084/m9.figshare.16829320.v1","title":"Additional file 9 of Multivariable models for advanced colorectal neoplasms in screen-eligible individuals at low-to-moderate risk of colorectal cancer: towards improving colonoscopy prioritization","year":2021,"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":"McMaster University; SickKids Foundation; University of Toronto; Ottawa Hospital; Hospital for Sick Children; University of Ottawa","funders":"","keywords":"Prioritization; Colonoscopy; Colorectal cancer; Table (database); Residual; Patient data; MEDLINE","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":[0.00190758,0.001145626,0.001215017,0.00115978,0.0004586253,0.001015639,0.001903087,0.0009172129,0.7424639],"category_scores_gemma":[0.03191851,0.0006154772,0.001618071,0.001952666,0.0001431996,0.001187651,0.0007609011,0.001172385,0.08606133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008432488,"about_ca_system_score_gemma":0.001519768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098831,"about_ca_topic_score_gemma":0.03019547,"domain_scores_codex":[0.9992245,0.0002890825,0.00008819049,0.0001602345,0.0001267025,0.0001113016],"domain_scores_gemma":[0.9825879,0.01427855,0.0008241743,0.0007049934,0.001380597,0.0002237915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004895931,0.0001310622,0.01072265,0.001325786,0.0003148108,0.0000712868,0.00005383679,0.003052142,0.00006222205,0.0007922436,0.9757179,0.007266373],"study_design_scores_gemma":[0.01502209,0.001086417,0.1236321,0.004922294,0.002302386,0.0008619201,0.0008428246,0.04773344,0.0009043232,0.02452052,0.7778358,0.0003359053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0008606177,0.00004411288,0.0007563438,0.0001855455,0.00003103533,0.00009341101,0.9964284,0.0004007707,0.001199751],"genre_scores_gemma":[0.04133447,0.000187287,0.006585121,0.0007208828,0.0001972173,0.002044733,0.9286103,0.001295464,0.01902458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7424639,"threshold_uncertainty_score":0.3673439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833095333518438,"score_gpt":0.2737469423701467,"score_spread":0.2554159890349623,"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."}}