{"id":"W4235998499","doi":"10.4172/jbb","title":"Journal of Bioequivalence & Bioavailability","year":2018,"lang":"fr","type":"paratext","venue":"Journal of Bioequivalence & Bioavailability","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Bioequivalence; Bioavailability; Pharmacology; Computational biology; Medicine; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004523464,0.0006185138,0.0008603885,0.002637021,0.0005903718,0.00319651,0.0005777073,0.001531742,0.03901254],"category_scores_gemma":[0.01059125,0.0002031525,0.0003831814,0.002416395,0.001325721,0.001495776,0.0009502147,0.001463574,0.01332415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288071,"about_ca_system_score_gemma":0.00205554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108835,"about_ca_topic_score_gemma":0.0008649905,"domain_scores_codex":[0.9965042,0.0009570896,0.0003300338,0.0002378328,0.00188369,0.00008720082],"domain_scores_gemma":[0.9958773,0.001757434,0.0005829247,0.0003776615,0.001265075,0.0001396867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006059216,0.0005100629,0.001923957,0.002064772,0.0001045242,0.0002260823,0.000202441,0.002168583,0.01571519,0.08079276,0.084803,0.8108827],"study_design_scores_gemma":[0.0001216578,0.001104969,0.01170019,0.0008246097,0.0001177286,0.001190082,0.0001340771,0.007146005,0.01856039,0.05017304,0.9088655,0.00006189588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03302616,0.1611778,0.108363,0.02029227,0.007147899,0.001606992,0.00519779,0.0008665785,0.6623216],"genre_scores_gemma":[0.4595816,0.1244663,0.0811077,0.002645124,0.007709602,0.001634192,0.004375573,0.0006560466,0.3178239],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9609874,"threshold_uncertainty_score":0.13051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540523483618972,"score_gpt":0.3246727591486874,"score_spread":0.2892675243124976,"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."}}