{"id":"W3155772271","doi":"10.1016/j.ijmedinf.2021.104455","title":"Participatory simulation modeling to inform colorectal cancer screening in a complex remote northern health system: Canada’s Northwest Territories","year":2021,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University; Canadian Partnership Against Cancer; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Partenariat Canadien Contre Le Cancer; University of Ottawa; Telfer School of Management, University of Ottawa; Polar Knowledge Canada; Health Canada","keywords":"Colonoscopy; Medicine; Microsimulation; Colorectal cancer; Citizen journalism; Computer science; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007447815,0.0001212941,0.0003689041,0.0002199602,0.00006906845,0.00005038043,0.0001955421,0.00008806278,0.00005293897],"category_scores_gemma":[0.0005938119,0.0001087499,0.00007981631,0.0002727753,0.00002230321,0.0002206607,0.00008061398,0.0004433924,0.000001373806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402504,"about_ca_system_score_gemma":0.004797145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2916704,"about_ca_topic_score_gemma":0.8652217,"domain_scores_codex":[0.9961046,0.00004076706,0.00130732,0.00007114415,0.002253337,0.0002228491],"domain_scores_gemma":[0.997801,0.0001015789,0.0004121371,0.0000790702,0.001168574,0.0004376334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00233252,0.00007774038,0.05588282,0.0002881752,0.0003268948,0.0004803053,0.006960735,0.7405602,0.00001477714,0.00004101755,0.0003998584,0.1926349],"study_design_scores_gemma":[0.001504365,0.0003054153,0.01659882,0.001503094,0.00002139265,0.000531598,0.003720948,0.9706448,0.00007882468,0.000003996144,0.004983079,0.0001036596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204614,0.0001412703,0.06915456,0.008570295,0.001356476,0.0001298323,0.00003403722,0.00002024286,0.0001319307],"genre_scores_gemma":[0.9944763,0.0000373706,0.002868232,0.001954077,0.0005961638,0.000003397916,0.00004721554,0.00001019652,0.000007090149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5735513,"threshold_uncertainty_score":0.850993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688547489058915,"score_gpt":0.3729274022165813,"score_spread":0.3040726533106898,"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."}}