{"id":"W4388220287","doi":"10.3390/plants12213756","title":"Comprehensive Phenotypic Characterization of Diverse Drug-Type Cannabis Varieties from the Canadian Legal Market","year":2023,"lang":"en","type":"article","venue":"Plants","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cannabis; Biology; Biotechnology; Population; Phenotypic trait; Maturity (psychological); Phenotype; Psychology; Medicine; Environmental health; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001327338,0.0001052526,0.0001970369,0.0001280073,0.0001869324,0.0000348304,0.0001392694,0.00006467764,0.0009275881],"category_scores_gemma":[0.00006807787,0.00007714278,0.00004594902,0.0003383078,0.0001148258,0.00005523517,0.00006011497,0.0001787437,0.0001225538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008854768,"about_ca_system_score_gemma":0.000618706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3499509,"about_ca_topic_score_gemma":0.1454668,"domain_scores_codex":[0.9989311,0.00006378139,0.0001552287,0.0001758144,0.0003666094,0.0003075389],"domain_scores_gemma":[0.9992684,0.00002338837,0.00004903713,0.00025505,0.0002160114,0.0001881752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005017334,0.00003333377,0.03876276,0.00007354193,0.0001444331,0.0001694921,0.002119712,0.000003796182,0.02199679,0.0001199356,0.9322274,0.003847103],"study_design_scores_gemma":[0.000330773,0.00003261434,0.6958701,0.000031786,0.00002277463,0.000006182072,0.0004934381,0.0002534695,0.001038294,0.00002398635,0.301832,0.00006461277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828488,0.00007660486,8.9918e-7,0.01317465,0.0004257619,0.0003073876,0.001057657,0.00003464323,0.002073652],"genre_scores_gemma":[0.9631634,0.0001473851,0.000004005566,0.00072149,0.0001995661,0.00001283589,0.001249187,0.00001764806,0.03448447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6571074,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246962209867019,"score_gpt":0.265148961789049,"score_spread":0.2404527408023471,"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."}}