{"id":"W4392332354","doi":"","title":"Incorporating biological information into genomic prediction models","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Computational biology; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00151465,0.0007635881,0.0008404712,0.0007676464,0.0003336539,0.001280303,0.0008433882,0.001275801,0.003615441],"category_scores_gemma":[0.008681254,0.0003756651,0.0008095781,0.001038697,0.0002755819,0.00171873,0.0006682937,0.001415067,0.001430477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611526,"about_ca_system_score_gemma":0.0006022608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006304104,"about_ca_topic_score_gemma":0.009632783,"domain_scores_codex":[0.9996638,0.0001281825,0.00002054294,0.0001035113,0.00005845457,0.00002545956],"domain_scores_gemma":[0.9951574,0.004102807,0.00009577163,0.0001824268,0.0003713384,0.00009029265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002741718,0.0002389502,0.007674558,0.0002039705,0.0001692808,0.0002009063,0.00003837687,0.79136,0.003628703,0.002644535,0.005605869,0.1879607],"study_design_scores_gemma":[0.000007621717,0.00002297478,0.0004148213,0.000009617457,0.00002396319,0.00001359894,0.000004518466,0.9942515,0.0004978345,0.004330224,0.0004196322,0.000003826589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.167023,0.003151412,0.8089226,0.005078132,0.000461331,0.0001370102,0.004657343,0.005095492,0.005473665],"genre_scores_gemma":[0.8609592,0.002067569,0.121516,0.0009464821,0.0004644266,0.0001326617,0.008238098,0.0002854836,0.005390039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006304104,"threshold_uncertainty_score":0.01253486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111533637254489,"score_gpt":0.2202926280799335,"score_spread":0.2091772917073886,"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."}}