{"id":"W2098561597","doi":"10.1093/nar/gkl228","title":"The Path-A metabolic pathway prediction web server","year":2006,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Web server; Computer science; Metabolic pathway; Path (computing); Classifier (UML); Organism; Biology; Set (abstract data type); Computational biology; Artificial intelligence; Machine learning; Bioinformatics; The Internet; Genetics; World Wide Web; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630127,0.0001276248,0.0000985298,0.00006297768,0.0005831989,0.0001370899,0.0004829894,0.0001467326,0.00005937785],"category_scores_gemma":[0.0003425607,0.0000894821,0.00008083799,0.0002535654,0.0002450534,0.000008040555,0.0003168139,0.0004483061,0.0001990162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002236259,"about_ca_system_score_gemma":0.0001360265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005815521,"about_ca_topic_score_gemma":0.00005832683,"domain_scores_codex":[0.9980825,0.0002805778,0.0002625287,0.0002375046,0.0006213577,0.0005155757],"domain_scores_gemma":[0.9989064,0.00005832667,0.00005478871,0.0006535643,0.0002528398,0.00007408462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002867729,0.0002596666,0.09759419,0.00009853194,0.0001615728,0.00001201511,0.0002380309,0.0005325265,0.6194404,0.02328273,0.2076665,0.05042698],"study_design_scores_gemma":[0.0003790259,0.0002027661,0.03106054,0.00000667371,0.000004632567,0.00001337887,0.00009827345,0.003821626,0.01734878,0.0003695311,0.9465763,0.0001185022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584373,0.00108191,0.0001867384,0.0005311122,0.0001878939,0.0002921137,0.00003175458,0.0000458078,0.03920537],"genre_scores_gemma":[0.9889777,0.0003642561,0.0005151421,0.00007054035,0.0006628499,0.00004353212,0.0001193667,0.00003275554,0.009213897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7389097,"threshold_uncertainty_score":0.4485554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429055804371951,"score_gpt":0.2930937066084847,"score_spread":0.2788031485647652,"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."}}