{"id":"W2563397684","doi":"10.71781/28612","title":"Développement et utilisation de modèles in vitro et de données précliniques pour augmenter la prédictibilité de la perméabilité et du métabolisme intestinal chez l'humain","year":2016,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Fondation de l’Hôpital Maisonneuve-Rosemont; Vertex Pharmaceuticals","keywords":"Biology; Humanities; Molecular biology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002670068,0.001253508,0.001367427,0.0007251781,0.0006045426,0.001664605,0.0009003184,0.001510315,0.002428188],"category_scores_gemma":[0.003413082,0.0007599703,0.001426846,0.000872019,0.0007344836,0.001422625,0.0007521929,0.001614582,0.001101324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220686,"about_ca_system_score_gemma":0.001884774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007125951,"about_ca_topic_score_gemma":0.008370969,"domain_scores_codex":[0.9978511,0.0005700511,0.0002039138,0.0004726739,0.0007491237,0.000153052],"domain_scores_gemma":[0.9977902,0.0008803846,0.0003811196,0.0003067041,0.0005674281,0.00007420308],"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":[0.0004414023,0.0001957301,0.001358472,0.001440614,0.00009754335,0.0001501919,0.0001670354,0.003241774,0.9761885,0.0005894312,0.0003449123,0.0157845],"study_design_scores_gemma":[0.00006223329,0.00123504,0.003278504,0.0001526639,0.0002424592,0.0002656321,0.0001405814,0.01242548,0.9634903,0.0005065036,0.01811601,0.00008457837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5385054,0.02935946,0.4111618,0.002037853,0.0006735661,0.00137328,0.006060555,0.001339936,0.009488085],"genre_scores_gemma":[0.7113357,0.03098037,0.2332378,0.0007743624,0.0001609757,0.002382385,0.006545785,0.0003840214,0.01419866],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007125951,"threshold_uncertainty_score":0.01416892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448579476298261,"score_gpt":0.3922864833854291,"score_spread":0.3478006886224465,"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."}}