{"id":"W7081972113","doi":"10.11159/icbb25.001","title":"Machine Learning In the Genome Browser","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annotation; Genome; Focus (optics); Genome project; Genome Biology; Genomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003525307,0.001530161,0.001013017,0.003517283,0.0007757066,0.005106328,0.002263769,0.002584728,0.04096672],"category_scores_gemma":[0.01115189,0.000968828,0.001150363,0.003689498,0.0005599761,0.00374827,0.002297993,0.003612708,0.02853641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582097,"about_ca_system_score_gemma":0.002834088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322881,"about_ca_topic_score_gemma":0.01746118,"domain_scores_codex":[0.9984111,0.0005537966,0.000105487,0.0002525313,0.0005575873,0.0001195603],"domain_scores_gemma":[0.9963136,0.001916817,0.0001743597,0.0006486514,0.0006646566,0.0002819515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001418563,0.00009288765,0.001438744,0.0004947282,0.0001007571,0.0001840992,0.0003067051,0.004245338,0.002921507,0.04291113,0.8673471,0.07981519],"study_design_scores_gemma":[0.00007090606,0.0000164049,0.0009737147,0.0002105543,0.00002532003,0.000207575,0.000129428,0.02684629,0.003390579,0.05953835,0.9085283,0.00006266958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004533167,0.006305981,0.3872498,0.01294099,0.001784118,0.0001451935,0.1434781,0.3838058,0.05975699],"genre_scores_gemma":[0.04795515,0.006733314,0.6330795,0.00622193,0.0005857102,0.0008272534,0.2294144,0.03879926,0.03638328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04096672,"threshold_uncertainty_score":0.1370474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111954235643939,"score_gpt":0.2263867034490734,"score_spread":0.2151912798846795,"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."}}