{"id":"W4403524324","doi":"10.1016/j.plantsci.2024.112296","title":"Development of efficient and scalable regeneration tissue culture method for Cannabis sativa","year":2024,"lang":"en","type":"article","venue":"Plant Science","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Cannabis sativa; Regeneration (biology); Biotechnology; Tissue culture; Computational biology; Botany; Cell biology; Genetics; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009568325,0.00006871032,0.0001234507,0.0001503978,0.0001656626,0.00005827752,0.00007199542,0.00003112524,0.00001795748],"category_scores_gemma":[0.0001212956,0.00004673033,0.00001736025,0.0004467595,0.0001423526,0.00004917929,0.00004474607,0.00006635659,0.000002660435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008931826,"about_ca_system_score_gemma":0.0007905324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003952094,"about_ca_topic_score_gemma":0.00002145693,"domain_scores_codex":[0.9989159,0.000009607482,0.000153658,0.0002863515,0.0004196552,0.0002148767],"domain_scores_gemma":[0.9995919,0.000008238001,0.00002071782,0.0001006643,0.0001523777,0.000126095],"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":[0.00003569074,0.00003163443,0.00004409216,0.0004091107,0.000008367219,0.000006182386,0.002954818,0.00005662044,0.9101462,0.002410479,0.03160292,0.05229386],"study_design_scores_gemma":[0.0001593692,0.0001106886,0.001353279,0.0001350553,0.00001220095,0.00006599903,0.0001537396,0.04032096,0.675841,0.00003295067,0.2817464,0.00006840991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700061,0.003353808,0.1063872,0.01504253,0.000604539,0.001848078,0.0001952628,0.00009243197,0.002470064],"genre_scores_gemma":[0.6543171,0.00007989184,0.3001406,0.0002090841,0.0002226411,0.0002510164,0.00007818535,0.00002521714,0.0446763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2501435,"threshold_uncertainty_score":0.1905607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270603135365868,"score_gpt":0.3471041591978101,"score_spread":0.3243981278441515,"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."}}