{"id":"W2160561333","doi":"10.1093/pcp/pct040","title":"Coupling Deep Transcriptome Analysis with Untargeted Metabolic Profiling in Ophiorrhiza pumila to Further the Understanding of the Biosynthesis of the Anti-Cancer Alkaloid Camptothecin and Anthraquinones","year":2013,"lang":"en","type":"article","venue":"Plant and Cell Physiology","topic":"Alkaloids: synthesis and pharmacology","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Phenomenome Discoveries (Canada)","funders":"Core Research for Evolutional Science and Technology; National Institute of General Medical Sciences; Japan Science and Technology Agency; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Camptothecin; Biology; Anthraquinones; Transcriptome; Biosynthesis; Metabolome; Metabolic pathway; Biochemistry; Gene; Botany; Gene expression; Metabolite","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":[0.0002089707,0.0005064433,0.0005791956,0.0004213226,0.000314656,0.0005615216,0.0002826993,0.0003466422,0.0005218086],"category_scores_gemma":[0.0002120778,0.0002630993,0.0005978597,0.000563526,0.0002451929,0.0004001984,0.000670096,0.0007429241,0.000375125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003033812,"about_ca_system_score_gemma":0.0003452109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008715982,"about_ca_topic_score_gemma":0.001285591,"domain_scores_codex":[0.9998342,0.00001136503,0.000008641194,0.00007151422,0.00004156908,0.00003272106],"domain_scores_gemma":[0.9998744,0.00002997249,0.00002778547,0.00001554666,0.00002796929,0.00002429699],"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":[0.00008512092,0.00001503494,0.0004953462,0.00005411946,0.000007813835,0.00003153411,0.00005232932,0.000204886,0.996554,0.00004652269,0.00003586619,0.002417332],"study_design_scores_gemma":[0.00009079406,0.0008654484,0.1470988,0.00006284942,0.0001902239,0.0005108849,0.0005588125,0.03186861,0.8033215,0.0015714,0.01377172,0.00008901086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656949,0.000856423,0.02418188,0.0001589544,0.00003312615,0.0001013252,0.006993165,0.0005007974,0.001479363],"genre_scores_gemma":[0.9319284,0.001052255,0.04336895,0.0003297087,0.00003888354,0.0003841087,0.01934327,0.0003727149,0.003181702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008715982,"threshold_uncertainty_score":0.002201259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04918967360532556,"score_gpt":0.3094593248404035,"score_spread":0.2602696512350779,"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."}}