{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926305,0.0002641446,0.0005607297,0.0004110067,0.0003813892,0.00007494799,0.0002698984,0.0004209886,0.0003070357],"category_scores_gemma":[0.0003707338,0.0002268274,0.0002678305,0.0004036545,0.0002996779,0.00008213153,0.0002111313,0.001272421,0.00003736938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545665,"about_ca_system_score_gemma":0.001381963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004363945,"about_ca_topic_score_gemma":0.00007937699,"domain_scores_codex":[0.9978154,0.0000674625,0.0004785567,0.0004771083,0.0003582881,0.0008032376],"domain_scores_gemma":[0.9982553,0.00002531644,0.0001678337,0.0005475743,0.0006185057,0.000385452],"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":[0.0004986686,0.0001965595,0.0006675773,0.0001473536,0.0002472514,0.002305552,0.00007368697,0.000003802661,0.4682491,0.001318035,0.5143744,0.01191802],"study_design_scores_gemma":[0.002636163,0.0004495379,0.002269092,0.0001073192,0.0001087571,0.02967484,0.0005910472,0.0001636232,0.159469,0.0003633052,0.8039375,0.000229809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6582337,0.01206979,0.003174556,0.3222593,0.000967959,0.0009891581,0.001510791,0.0002221472,0.0005725775],"genre_scores_gemma":[0.7108884,0.03645447,0.06416928,0.04031071,0.007930007,0.00119069,0.005275721,0.0008411062,0.1329396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087802,"threshold_uncertainty_score":0.9249751,"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."}}