{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01564694,0.002078797,0.005672333,0.002102153,0.0005888934,0.0001870409,0.00429759,0.01858216,0.0274916],"category_scores_gemma":[0.00937288,0.001596274,0.003704771,0.002952568,0.01647548,0.001238413,0.0008914009,0.02229009,0.008433285],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002169296,"about_ca_system_score_gemma":0.006634794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192091,"about_ca_topic_score_gemma":0.00004046672,"domain_scores_codex":[0.9806862,0.002115017,0.009904711,0.001679491,0.003110799,0.002503807],"domain_scores_gemma":[0.9711818,0.00165407,0.01289845,0.003396511,0.009018274,0.001850976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01545171,0.01367427,0.05860082,0.01585353,0.008227607,0.002619435,0.003739414,0.00005424395,0.1173315,0.001218631,0.6845588,0.07867002],"study_design_scores_gemma":[0.005654934,0.01481318,0.007595723,0.01308255,0.006035262,0.01354466,0.001685166,0.00005231898,0.08176668,0.001086601,0.8526397,0.002043257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7115411,0.191727,0.00334078,0.02683328,0.05611929,0.001642395,0.0007553288,0.00008997342,0.007950862],"genre_scores_gemma":[0.6577451,0.2181799,0.02790158,0.002040333,0.02528137,0.00001672966,0.00008727333,0.0004350969,0.06831263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680809,"threshold_uncertainty_score":0.9991954,"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."}}