{"id":"W2962367341","doi":"","title":"Plant secondary metabolism in the post-genomic era","year":2006,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Biology; Genetics; Computational 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":[0.0005648618,0.000515895,0.000898529,0.002693038,0.0005673186,0.001615857,0.0004549125,0.0009179596,0.00495529],"category_scores_gemma":[0.0004533638,0.0002116715,0.0003156977,0.005662558,0.001372439,0.001734378,0.0006353293,0.00088507,0.001471456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473775,"about_ca_system_score_gemma":0.001588071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843416,"about_ca_topic_score_gemma":0.006421168,"domain_scores_codex":[0.9998265,0.00004263896,0.0000153044,0.00003525423,0.00005227613,0.00002801394],"domain_scores_gemma":[0.9996572,0.000119895,0.00003337159,0.00004606307,0.0001045184,0.00003905123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000458158,0.00006322107,0.0005961255,0.007029993,0.00006473476,0.001235002,0.0007245163,0.001264233,0.09793185,0.06608776,0.0244292,0.8001152],"study_design_scores_gemma":[0.00001169951,0.0002019847,0.007677343,0.0005876517,0.0000526214,0.0009491153,0.0002980887,0.0002327192,0.01538613,0.02896943,0.945605,0.00002821783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01688267,0.9291945,0.007031853,0.007311033,0.002616625,0.00001753376,0.0005661882,0.0001717365,0.03620797],"genre_scores_gemma":[0.1343374,0.7971295,0.01041637,0.002178904,0.003205304,0.00004228067,0.001556454,0.00009269862,0.05104107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00495529,"threshold_uncertainty_score":0.01794857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112123583230504,"score_gpt":0.1711717500365687,"score_spread":0.1600505142042637,"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."}}