{"id":"W3155377639","doi":"10.71781/29748","title":"Développement d’un nouveau modèle de criblage tridimensionnel pour la découverte de médicaments épigénétiques contre le cancer du poumon","year":2019,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation Charles-Bruneau","keywords":"Biology; Medicine","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":[0.0005433842,0.0006934514,0.0007690716,0.0004129857,0.0004995729,0.001511179,0.0008157087,0.001099972,0.003050116],"category_scores_gemma":[0.0006439857,0.000564343,0.001448546,0.0004300767,0.0007231957,0.00110884,0.0007136471,0.001598989,0.0008436812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431421,"about_ca_system_score_gemma":0.001624147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491747,"about_ca_topic_score_gemma":0.005478051,"domain_scores_codex":[0.999726,0.00005175392,0.00001521335,0.00007247845,0.0001049962,0.00002953572],"domain_scores_gemma":[0.9997272,0.00008634556,0.00003974872,0.00005077746,0.00006271615,0.00003321263],"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":[0.0003119048,0.0001854086,0.001816177,0.001086797,0.0001393421,0.0002488657,0.0003849866,0.06355885,0.8672839,0.03005727,0.001279906,0.03364652],"study_design_scores_gemma":[0.0002045027,0.001500575,0.005791761,0.0003123067,0.0003923799,0.0005439279,0.0004034967,0.3084441,0.525871,0.0155313,0.1407779,0.00022673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3060591,0.01050639,0.6573662,0.00186613,0.0007552291,0.0005782403,0.002263576,0.001336932,0.01926831],"genre_scores_gemma":[0.6815035,0.01039719,0.2839242,0.000492061,0.00007450232,0.001487013,0.002629254,0.0003006039,0.01919177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006491747,"threshold_uncertainty_score":0.01290792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110548878224139,"score_gpt":0.289610908362719,"score_spread":0.2685054195804776,"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."}}