{"id":"W4389209342","doi":"10.1101/2023.11.29.569008","title":"Optimizing <i>ex-vitro</i> one-step RUBY-equipped hairy root transformation in drug- and hemp-type Cannabis","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformation (genetics); In vitro; Ex vivo; Secondary metabolite; Agrobacterium; Strain (injury); Drug; Biology; Botany; Chemistry; Horticulture; Pharmacology; Biochemistry; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006159903,0.0006510073,0.000612851,0.0003164423,0.0002936947,0.0007034497,0.0005063532,0.000500812,0.001878887],"category_scores_gemma":[0.000534106,0.0002398441,0.0006317042,0.0002421197,0.0004230175,0.0003535186,0.0008001949,0.001138736,0.001628269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662824,"about_ca_system_score_gemma":0.0005023774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238242,"about_ca_topic_score_gemma":0.002501224,"domain_scores_codex":[0.9995074,0.00007289212,0.00004978221,0.0001197872,0.000175044,0.00007509359],"domain_scores_gemma":[0.9996142,0.0001027405,0.00009584468,0.00008906451,0.00004913776,0.00004898606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001839023,0.00001245358,0.00006805914,0.00004169138,0.000003557084,0.00003530215,0.00001256776,0.00007177757,0.9984813,0.00005556595,0.00003294582,0.001166353],"study_design_scores_gemma":[0.000003333138,0.00006036262,0.0007782085,0.000006172737,0.00001147917,0.0001293428,0.00002058865,0.0005247245,0.9960491,0.0000363999,0.002370915,0.000009385553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395403,0.00176527,0.1431677,0.0004059772,0.0002381544,0.0006953454,0.003101162,0.00252884,0.008557133],"genre_scores_gemma":[0.85288,0.001513644,0.1260635,0.0001876077,0.0000260741,0.0003390987,0.00443156,0.001168522,0.01339014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001878887,"threshold_uncertainty_score":0.006285489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228033128599373,"score_gpt":0.2602365929013722,"score_spread":0.2379562616153785,"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."}}