{"id":"W3123377322","doi":"10.1111/pbi.13548","title":"CannabisGDB: a comprehensive genomic database for <i>Cannabis Sativa</i> L","year":2021,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cannabidiol; Cannabis; Cannabis sativa; Biology; Genome; Biotechnology; Tetrahydrocannabinol; Genetics; Cannabinoid; Gene; Horticulture; Medicine","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":[0.000868563,0.0023119,0.002910082,0.007699872,0.002311483,0.002634731,0.00289758,0.002850918,0.03503022],"category_scores_gemma":[0.004522342,0.001302379,0.001953238,0.00969906,0.0006230735,0.001752863,0.003318809,0.002543466,0.03534393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183056,"about_ca_system_score_gemma":0.005302554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02300273,"about_ca_topic_score_gemma":0.03316789,"domain_scores_codex":[0.9990895,0.000085003,0.0001252348,0.0003312101,0.0002344371,0.0001346554],"domain_scores_gemma":[0.9988686,0.0002964696,0.0002057737,0.000182934,0.0002572047,0.000189109],"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":[0.005068578,0.0002353827,0.008179191,0.02313958,0.0007496233,0.002586267,0.002391558,0.001903057,0.1514869,0.006106358,0.726876,0.07127746],"study_design_scores_gemma":[0.0004935924,0.0001205564,0.014156,0.001304437,0.000379142,0.0007593073,0.0003581631,0.001336583,0.00711184,0.002339459,0.9714103,0.0002305774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004736002,0.003120381,0.003661888,0.0002576728,0.0001289835,0.0001843006,0.9718431,0.01042677,0.00564096],"genre_scores_gemma":[0.004123301,0.001026549,0.00581875,0.0002212811,0.00001556234,0.0002716017,0.9860244,0.001213845,0.001284736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03503022,"threshold_uncertainty_score":0.1171877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611127292394711,"score_gpt":0.2923289104213733,"score_spread":0.2662176374974262,"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."}}