{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811499,0.00007505232,0.0001029896,0.00008239833,0.0000512231,0.00001473911,0.00005453628,0.0001138236,0.000004070911],"category_scores_gemma":[0.000001974761,0.00006751344,0.00001501216,0.000090371,0.0002147873,0.000001127072,0.00007685934,0.00008777546,9.247147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001444573,"about_ca_system_score_gemma":0.00009655776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001721567,"about_ca_topic_score_gemma":0.00004913501,"domain_scores_codex":[0.9993064,0.0000170347,0.0001472588,0.0003111856,0.00003130161,0.0001868226],"domain_scores_gemma":[0.9998145,0.00001371568,0.00001703627,0.00009587667,0.00001868042,0.00004022353],"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":[0.0000276453,0.000008462339,0.001129327,0.00002778749,0.0000237289,9.467433e-7,0.0001181406,0.00001825532,0.9862644,0.005221837,0.00004629075,0.00711319],"study_design_scores_gemma":[0.002182589,0.0007741911,0.1515193,0.0000630744,0.00006573064,0.0002841238,0.002484606,0.001183248,0.5557331,0.008322304,0.2762888,0.001098994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992742,0.006126509,0.0003426116,0.0001965024,0.00002768371,0.0001432398,0.00009403525,0.000004750876,0.0003226544],"genre_scores_gemma":[0.9977345,0.0008540223,0.001014347,0.00003177802,0.0001022328,0.00005586525,0.0001500494,0.000009568305,0.00004760281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305313,"threshold_uncertainty_score":0.2753118,"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."}}