{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004067094,0.0005135512,0.0004431819,0.0008020327,0.0007197456,0.0004682704,0.0005996476,0.0005325736,0.001940749],"category_scores_gemma":[0.0002917234,0.0003164309,0.0005584848,0.0004479179,0.0002609292,0.0004845019,0.0006016705,0.001257179,0.001465563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476282,"about_ca_system_score_gemma":0.0007850291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932128,"about_ca_topic_score_gemma":0.005519606,"domain_scores_codex":[0.9996868,0.00002893488,0.00003753715,0.00006243851,0.0001513078,0.0000329191],"domain_scores_gemma":[0.9997893,0.00004134597,0.00004815632,0.00003625937,0.00004994845,0.00003503503],"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":[0.00001047633,0.00001080385,0.00007041763,0.0001045809,0.000002883479,0.00009877019,0.00002504223,0.00007686811,0.9966181,0.0001140106,0.0000702202,0.002797833],"study_design_scores_gemma":[0.00001628913,0.0002271697,0.003173047,0.0000745527,0.00005049778,0.0009964579,0.00009011127,0.002054021,0.9728238,0.000255378,0.02019736,0.00004142176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4676939,0.01320852,0.4911233,0.001128741,0.0007403186,0.003542826,0.003305106,0.001891904,0.01736538],"genre_scores_gemma":[0.5735376,0.01011852,0.3916121,0.0002866069,0.0001119463,0.002111617,0.005937192,0.0003184756,0.01596596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001940749,"threshold_uncertainty_score":0.006492496,"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."}}