{"id":"W3022597836","doi":"","title":"Combining molecular profile data and existing knowledge to discover novel compounds and pathways in plants","year":2005,"lang":"en","type":"article","venue":"","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Computer science; Data science; Computational biology; Biology","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":[0.0004786662,0.0005991611,0.0009212901,0.004158745,0.0003406368,0.001435199,0.0005786882,0.0005726254,0.001379807],"category_scores_gemma":[0.001456438,0.000414003,0.001064035,0.004030452,0.0002353951,0.002970915,0.0006551626,0.0009426011,0.001349857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201311,"about_ca_system_score_gemma":0.0008187528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223325,"about_ca_topic_score_gemma":0.004286224,"domain_scores_codex":[0.9997811,0.00002134332,0.00002652012,0.00007703129,0.00007150811,0.00002252064],"domain_scores_gemma":[0.9990517,0.0003783272,0.0001677557,0.0001847001,0.0001450313,0.00007237005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001899836,0.0006635365,0.09014212,0.002340768,0.001103333,0.00150918,0.0002337197,0.02006007,0.5012572,0.003416693,0.001809769,0.3755638],"study_design_scores_gemma":[0.0003060206,0.001280325,0.1922048,0.0004116266,0.00517803,0.005037694,0.0008447921,0.2567899,0.4295302,0.04407305,0.06396757,0.0003759928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7001123,0.01092766,0.2343982,0.0008805043,0.00007225772,0.0002261102,0.04219485,0.003832504,0.00735557],"genre_scores_gemma":[0.7823493,0.01149067,0.1537674,0.0002528628,0.00009031204,0.0001131791,0.04995947,0.0002179011,0.001758917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004158745,"threshold_uncertainty_score":0.004615963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04342892141038603,"score_gpt":0.278724733420923,"score_spread":0.235295812010537,"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."}}