{"id":"W3007546052","doi":"10.1093/jcag/gwz047.114","title":"A115 MODELING CYSTIC FIBROSIS (CF) INTESTINAL DISEASE USING PATIENT DERIVED TISSUES","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Cystic fibrosis; Cystic fibrosis transmembrane conductance regulator; Inflammation; Medicine; Microbiome; Fibrosis; Cancer; Internal medicine; Pancreatic cancer; Chloride channel; Pancreas; Pathology; Cancer research; Gastroenterology; Biology; Bioinformatics; Cell biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004620928,0.0003975385,0.0002380534,0.0004159337,0.0002223506,0.0005701192,0.0004186622,0.0007605347,0.005373725],"category_scores_gemma":[0.0004621089,0.0001964409,0.0005222385,0.0003264046,0.0002203661,0.0001922561,0.0003824392,0.0007255928,0.001065013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602983,"about_ca_system_score_gemma":0.0003357543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119611,"about_ca_topic_score_gemma":0.001416339,"domain_scores_codex":[0.9998147,0.00004462348,0.00001335525,0.00004527832,0.00005935121,0.00002271452],"domain_scores_gemma":[0.9997857,0.0000715581,0.00004065834,0.00003528694,0.00004013173,0.00002658127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001217526,0.00041773,0.01340382,0.000444629,0.00009899824,0.001316134,0.0002164656,0.07468363,0.8754122,0.004730012,0.003823926,0.02423483],"study_design_scores_gemma":[0.0002427817,0.004882633,0.03361209,0.000224655,0.0002989226,0.003471362,0.0005665889,0.2995396,0.5774586,0.004202651,0.07538676,0.0001133429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8518854,0.001870794,0.1129999,0.000734502,0.0003930803,0.0005208046,0.01892844,0.001774372,0.0108927],"genre_scores_gemma":[0.9417237,0.001197949,0.0392013,0.0003302,0.00002202871,0.0007169398,0.01038814,0.0001560547,0.006263708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005373725,"threshold_uncertainty_score":0.01797688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274586638985829,"score_gpt":0.2718931388742139,"score_spread":0.2491472724843556,"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."}}