{"id":"W3186228811","doi":"10.48130/bpr-2021-0005","title":"TeaPGDB: Tea Plant Genome Database","year":2021,"lang":"en","type":"article","venue":"Beverage Plant Research","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Genome; Annotation; Biology; Database; Gene Annotation; Download; Biotechnology; Gene; Genetics; Computer science; World Wide Web","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":[0.001151436,0.002922287,0.003760585,0.006446602,0.00193075,0.003709848,0.004961424,0.002788434,0.03540988],"category_scores_gemma":[0.002829123,0.001147819,0.001671065,0.01260772,0.0003999759,0.003455838,0.003377845,0.003074279,0.05271557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234891,"about_ca_system_score_gemma":0.00366465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007678119,"about_ca_topic_score_gemma":0.005519805,"domain_scores_codex":[0.9988977,0.0001297371,0.0002140944,0.0003620205,0.0002531371,0.0001432632],"domain_scores_gemma":[0.9990301,0.0001407982,0.0001734716,0.0001748199,0.0002592102,0.0002215352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001142736,0.0001910262,0.001637472,0.008511091,0.0003195609,0.0005673979,0.0004687499,0.001381358,0.02238508,0.003698045,0.9177067,0.0419908],"study_design_scores_gemma":[0.0002528807,0.00006467442,0.003464824,0.0004313413,0.0001896507,0.0004185576,0.0001505993,0.001706445,0.004338951,0.003246714,0.9856277,0.0001076394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00162818,0.002626464,0.007793216,0.0003096316,0.0001731166,0.0001621985,0.9657876,0.01546847,0.006051082],"genre_scores_gemma":[0.001140528,0.0007619981,0.004349173,0.0001168354,0.00001844889,0.0001437926,0.9920135,0.0007308727,0.0007248097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03540988,"threshold_uncertainty_score":0.1184579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117687713380499,"score_gpt":0.3775873304816627,"score_spread":0.2598996171011637,"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."}}