{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004421019,0.0002234232,0.0004782604,0.0006814283,0.0002054982,0.00003584864,0.00009160762,0.0001568044,0.0000177907],"category_scores_gemma":[0.001029819,0.0001873907,0.00005464425,0.0007279508,0.0001631488,0.00009630198,0.00006228849,0.0001599496,0.0000165255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514576,"about_ca_system_score_gemma":0.00007787425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002690133,"about_ca_topic_score_gemma":0.0001367264,"domain_scores_codex":[0.9986272,0.00002230939,0.0003507425,0.0004322189,0.0002065548,0.0003609174],"domain_scores_gemma":[0.9990329,0.000455571,0.0001034162,0.0002486299,0.0001045462,0.00005494865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00927464,0.001160037,0.7392344,0.0007115477,0.002643491,0.0001998881,0.006896992,0.0008307362,0.06870706,0.003157468,0.007573636,0.1596101],"study_design_scores_gemma":[0.00846608,0.002070749,0.07929762,0.00102989,0.001599585,0.00007571674,0.009323403,0.3523196,0.5328979,0.002955839,0.008384448,0.001579117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863085,0.0002512381,0.01018622,0.001078691,0.00003507318,0.0005481666,0.00001377415,0.0005511768,0.00102713],"genre_scores_gemma":[0.9683886,0.00006314162,0.02938571,0.0001323455,0.00001907426,0.0001405264,0.000104207,0.00001628509,0.001750089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6599368,"threshold_uncertainty_score":0.7641572,"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."}}