{"id":"W2886211708","doi":"10.1089/adt.2018.846","title":"Multiple-Condition Analysis in a Retrievable Subcutaneous Animal Model for Drug Screening on Full Pancreatic Tissue Digest","year":2018,"lang":"en","type":"article","venue":"Assay and Drug Development Technologies","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke","funders":"","keywords":"In vivo; Animal model; Pancreas; Pancreatic islets; Drug; Medicine; Computer science; Pharmacology; Biology; Islet; Insulin; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001276354,0.0009718382,0.0007753707,0.001193431,0.0002848882,0.000713541,0.0004654759,0.0007934569,0.00212399],"category_scores_gemma":[0.0004602493,0.0003186609,0.0009537648,0.0004488131,0.0005381977,0.0006543389,0.0005546578,0.001541986,0.001022569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314271,"about_ca_system_score_gemma":0.0005524768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004630816,"about_ca_topic_score_gemma":0.0009844271,"domain_scores_codex":[0.9990548,0.0001267402,0.00008038156,0.0002597546,0.000357816,0.0001204839],"domain_scores_gemma":[0.999216,0.0001202506,0.000215658,0.0001983128,0.0001364688,0.00011339],"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":[0.0001585001,0.0001260901,0.0001708599,0.00005658033,0.00001240519,0.00005882268,0.00002265002,0.0001360648,0.9962372,0.0001383713,0.00008369003,0.002798761],"study_design_scores_gemma":[0.00002956885,0.001534273,0.002884924,0.00002039288,0.00008675415,0.0003035972,0.00004059506,0.00252674,0.9890757,0.0001621984,0.003311312,0.00002391048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6078533,0.003138278,0.3765975,0.0003794288,0.0004314732,0.001517948,0.00262381,0.002304022,0.005154289],"genre_scores_gemma":[0.7185716,0.004065028,0.2556953,0.0004737902,0.00008916392,0.003709103,0.003859162,0.0005384678,0.01299849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00212399,"threshold_uncertainty_score":0.00710541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794222274268368,"score_gpt":0.2625195440828437,"score_spread":0.24457732134016,"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."}}