{"id":"W4388620263","doi":"10.1101/2023.11.09.566286","title":"Genetic Insights into Agronomic and Morphological Traits of Drug-Type Cannabis Revealed by Genome-Wide Association Studies","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome-wide association study; Biology; Cannabis; Linkage disequilibrium; Genetic association; Genetic architecture; Identification (biology); Candidate gene; Genotyping; Genomics; Genetics; Single-nucleotide polymorphism; Evolutionary biology; Biotechnology; Quantitative trait locus; Genome; Gene; Ecology; Medicine; Genotype; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007137565,0.0003625536,0.0003593731,0.001483742,0.0005722541,0.0007855537,0.0003192374,0.0003774891,0.003961273],"category_scores_gemma":[0.001028566,0.0001511298,0.0005585952,0.002461982,0.0006388485,0.0002079338,0.0005337875,0.0004943501,0.0004578173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504261,"about_ca_system_score_gemma":0.0005343999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009960635,"about_ca_topic_score_gemma":0.01911136,"domain_scores_codex":[0.9995785,0.00008015508,0.00002719115,0.0001822818,0.00008304833,0.00004875093],"domain_scores_gemma":[0.9991505,0.0003546206,0.0002111018,0.000106741,0.00007730295,0.00009979314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001667841,0.000154736,0.5869806,0.0004357685,0.001498728,0.002652873,0.0007546697,0.001171934,0.3664204,0.002016919,0.001136968,0.03510847],"study_design_scores_gemma":[0.00002514733,0.00005993697,0.9891961,0.00002739008,0.0003243124,0.0006155294,0.0001733766,0.0009469019,0.004566877,0.0008546945,0.003186339,0.00002341489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831141,0.002179767,0.007218388,0.0003537985,0.00002937969,0.00003702886,0.004385079,0.0001137471,0.002568607],"genre_scores_gemma":[0.9915037,0.0007807172,0.004833101,0.000144038,0.00002355838,0.00001506458,0.001553167,0.00004870129,0.001097994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009960635,"threshold_uncertainty_score":0.01980531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015415814841372,"score_gpt":0.2619421220556595,"score_spread":0.2417879639072457,"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."}}