{"id":"W2998008364","doi":"10.1093/nar/gkz989","title":"pathDIP 4: an extended pathway annotations and enrichment analysis resource for human, model organisms and domesticated species","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; University Health Network; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Canada Foundation for Innovation; Ontario Research Foundation; International Business Machines Corporation","keywords":"Biology; Domestication; Resource (disambiguation); Evolutionary biology; Computational biology; Genetics; Ecology","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":[0.001542552,0.002185191,0.001442667,0.006799734,0.001214078,0.001934431,0.002341409,0.0009094116,0.03573951],"category_scores_gemma":[0.002885157,0.001355571,0.002122356,0.006532791,0.0003696725,0.002127861,0.004420052,0.001647317,0.01876999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009866989,"about_ca_system_score_gemma":0.003292958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840447,"about_ca_topic_score_gemma":0.007416941,"domain_scores_codex":[0.9991842,0.0001402688,0.00008677799,0.0002508147,0.0002270042,0.0001109094],"domain_scores_gemma":[0.9987502,0.000408348,0.0001773139,0.0002751519,0.0002193646,0.0001696279],"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":[0.003302025,0.0002691668,0.01539291,0.01316511,0.001162409,0.002056409,0.001006057,0.00863475,0.07490334,0.01748238,0.7157068,0.1469187],"study_design_scores_gemma":[0.0004312321,0.0001648237,0.02037121,0.0008648128,0.0004003595,0.001891856,0.0002894866,0.01193291,0.02426679,0.01897066,0.9201791,0.0002366166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01067611,0.001867202,0.08564002,0.0003619136,0.0001450719,0.0003412096,0.8190212,0.07178833,0.01015891],"genre_scores_gemma":[0.01817734,0.001557742,0.117105,0.0002268214,0.00003040528,0.0009359425,0.850054,0.008432432,0.003480308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03573951,"threshold_uncertainty_score":0.1195606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107491543850105,"score_gpt":0.3192241642857758,"score_spread":0.2881492488472747,"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."}}