{"id":"W1982075805","doi":"10.1109/cibcb.2005.1594924","title":"Pathway Analyst Automated Metabolic Pathway Prediction","year":2005,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Leverage (statistics); Metabolic pathway; Hidden Markov model; Computer science; Support vector machine; Similarity (geometry); Computational biology; Identification (biology); Artificial intelligence; Machine learning; Biology; Gene; Genetics; Ecology","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":[0.0008293438,0.001472999,0.0008528571,0.003047906,0.0005080158,0.001321941,0.001239609,0.001023542,0.0313067],"category_scores_gemma":[0.002950467,0.0005017799,0.001124848,0.002618112,0.0001879174,0.001686681,0.0009754773,0.001074037,0.006923171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006551316,"about_ca_system_score_gemma":0.001442673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003665032,"about_ca_topic_score_gemma":0.00461027,"domain_scores_codex":[0.9995767,0.00005900703,0.00003313848,0.0001186803,0.0001698447,0.00004265697],"domain_scores_gemma":[0.9991866,0.0002920648,0.00008697771,0.0001377561,0.0002529489,0.0000436837],"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":[0.00337036,0.0003951249,0.02079204,0.002989576,0.0005125971,0.00101197,0.0002576701,0.06449673,0.07402907,0.02513458,0.1749865,0.6320239],"study_design_scores_gemma":[0.0004489467,0.0002410099,0.008297028,0.0001029716,0.0001628862,0.001022206,0.0001583888,0.7002602,0.08521001,0.03104185,0.1729213,0.0001330806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07395209,0.001561423,0.5490022,0.0006494159,0.0002408974,0.000620157,0.1220265,0.2328814,0.01906599],"genre_scores_gemma":[0.2498242,0.001101107,0.6244936,0.0001667323,0.00005389121,0.0005838262,0.1108707,0.003816779,0.009089148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0313067,"threshold_uncertainty_score":0.1047314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005055874996643707,"score_gpt":0.2352774308702761,"score_spread":0.2302215558736324,"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."}}