{"id":"W2045510682","doi":"10.1101/gr.147901","title":"Evaluation of Gene-Finding Programs on Mammalian Sequences","year":2001,"lang":"en","type":"article","venue":"Genome Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":272,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Centre for Reproductive Medicine; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Exon; Sequence (biology); Gene prediction; Computational biology; Gene; Sequence analysis; Genetics; Strengths and weaknesses; Function (biology); Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004540459,0.001369302,0.0008863034,0.002393091,0.0009225181,0.0009462368,0.002077331,0.0008875182,0.001781702],"category_scores_gemma":[0.008240609,0.0003506723,0.0007852648,0.002745455,0.0005153156,0.001119498,0.001066015,0.0009015515,0.0008214493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277996,"about_ca_system_score_gemma":0.001220258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005789371,"about_ca_topic_score_gemma":0.007920252,"domain_scores_codex":[0.9971316,0.0008875215,0.0002246714,0.0007758513,0.0007821936,0.0001982108],"domain_scores_gemma":[0.9935819,0.004269875,0.0002442189,0.0004994373,0.001202358,0.0002022805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005885565,0.002242717,0.04583666,0.002820028,0.001202963,0.0005903562,0.0005742642,0.1503692,0.09021167,0.005854615,0.04156478,0.6528472],"study_design_scores_gemma":[0.0005871656,0.001537142,0.03392073,0.0001387909,0.0003696797,0.0006658809,0.0003266939,0.760402,0.1631009,0.002561488,0.0362721,0.0001173716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908829,0.002793774,0.06156519,0.0003410432,0.000104745,0.0003430212,0.007765447,0.02897933,0.007224503],"genre_scores_gemma":[0.6493326,0.001457192,0.2810778,0.0003475337,0.00005115973,0.000590078,0.0597634,0.003280389,0.004099904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005789371,"threshold_uncertainty_score":0.02401251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1565077522533462,"score_gpt":0.4316221012825429,"score_spread":0.2751143490291966,"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."}}