{"id":"W7037042541","doi":"","title":"Développement de méthodes bio-informatiques pour la découverte de variants codants et non codants dans le cadre des traits sanguins","year":2020,"lang":"fr","type":"other","venue":"Open MIND","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; U.S. Department of Health and Human Services; Fondation Institut de Cardiologie de Montréal; Institut de Cardiologie de Montréal; Broad Institute; University of Washington","keywords":"Genetic inheritance; Human immunodeficiency virus (HIV); Biological evolution; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001487123,0.0006156636,0.0008755807,0.0002091791,0.0002119665,0.0005203863,0.0009875679,0.0004409894,0.01418613],"category_scores_gemma":[0.0004220329,0.000609704,0.000192872,0.000392967,0.00019683,0.0003115358,0.0002867724,0.0007485172,0.001017129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026199,"about_ca_system_score_gemma":0.0009692319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002556747,"about_ca_topic_score_gemma":0.002371689,"domain_scores_codex":[0.9971439,0.000517313,0.0006549148,0.0004970548,0.0003568018,0.0008299862],"domain_scores_gemma":[0.9985323,0.000241862,0.0002157743,0.000314099,0.00005413797,0.0006418581],"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":[0.00002822061,0.0004597785,0.01167753,0.001115606,0.002300277,0.0007730143,0.06433423,0.002092589,0.03237719,0.0002532448,0.08877085,0.7958174],"study_design_scores_gemma":[0.005055885,0.000157808,0.08587165,0.01064883,0.001879177,0.0003359176,0.01346409,0.3527718,0.05680419,0.0007962734,0.468706,0.003508396],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.06070791,0.0005748827,0.4598477,0.002367992,0.0002229509,0.0006147554,0.0005277142,0.00004433986,0.4750918],"genre_scores_gemma":[0.1417242,0.001650681,0.6311533,0.0006668273,0.0004030901,0.00007404419,0.00021686,0.0004625578,0.2236484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.792309,"threshold_uncertainty_score":0.9997607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406392021780833,"score_gpt":0.312022629267045,"score_spread":0.2779587090492367,"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."}}