{"id":"W4403990420","doi":"10.5376/gab.2024.15.0024","title":"Research Progress in Genome Sequencing and Functional Gene Mining of Cannabis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Zhejiang Academy of Agricultural Sciences","keywords":"Cannabis; Genome; Computational biology; Gene; Biology; Genetics; DNA sequencing; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800633,0.0008862933,0.001262299,0.003704992,0.00112312,0.001840941,0.001227606,0.001043487,0.00236346],"category_scores_gemma":[0.003100022,0.0004459726,0.001794708,0.004378082,0.0007640204,0.001474165,0.001461903,0.002029223,0.00130002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845451,"about_ca_system_score_gemma":0.004571379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065188,"about_ca_topic_score_gemma":0.01489044,"domain_scores_codex":[0.9986921,0.0002094395,0.0001086931,0.0004761324,0.0003867175,0.000126968],"domain_scores_gemma":[0.9978422,0.0005579793,0.0002523535,0.0004271993,0.0006597746,0.0002604701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007471723,0.0001144667,0.0114541,0.00380436,0.0003592435,0.0008519104,0.0009890234,0.004107383,0.7311394,0.007732462,0.006735256,0.2319652],"study_design_scores_gemma":[0.0001976245,0.0004655579,0.141027,0.001539826,0.001262154,0.003523564,0.001647872,0.0269338,0.2541619,0.0256272,0.5432519,0.0003615348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4988315,0.1080679,0.2911881,0.009452251,0.001479158,0.0007946713,0.06270621,0.004713879,0.02276641],"genre_scores_gemma":[0.4174081,0.0723516,0.3467506,0.002215143,0.0004694045,0.0006376536,0.1494668,0.001524891,0.009175795],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01065188,"threshold_uncertainty_score":0.0211798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314952990191923,"score_gpt":0.2943077066836718,"score_spread":0.2628124076644795,"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."}}