{"id":"W4416082531","doi":"10.1139/gen-2025-0020","title":"Technological advances in trait development: from conventional breeding and untargeted mutagenesis to precision genome editing","year":2025,"lang":"en","type":"article","venue":"Genome","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome editing; Food security; Mutagenesis; Genome; CRISPR; Genetically modified organism; Plant breeding; Agriculture; Trait","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.003306165,0.0006631084,0.0007759369,0.001081104,0.0004577004,0.001880267,0.0008610151,0.0007467901,0.001967356],"category_scores_gemma":[0.001900576,0.0004478206,0.0007152461,0.0009890731,0.001435255,0.001550933,0.001331446,0.002670031,0.0007608011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662779,"about_ca_system_score_gemma":0.001671018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188098,"about_ca_topic_score_gemma":0.004128548,"domain_scores_codex":[0.9985607,0.0002694859,0.00009753228,0.0003422435,0.0006322397,0.0000978496],"domain_scores_gemma":[0.9987068,0.0005742703,0.000228397,0.0001767316,0.0002350889,0.0000786577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001493444,0.00007901062,0.002071461,0.003136336,0.0001482036,0.0005602997,0.0006649591,0.002346092,0.4251544,0.04696726,0.003587454,0.5151352],"study_design_scores_gemma":[0.0000523554,0.0007498488,0.007382238,0.001148552,0.0003239191,0.003500636,0.0003467629,0.004682878,0.2369107,0.02148724,0.7232415,0.0001733005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08774375,0.3367526,0.5149915,0.0110072,0.001430285,0.000317076,0.0008403008,0.002046397,0.04487103],"genre_scores_gemma":[0.2965622,0.3566236,0.3208148,0.004133022,0.0004562845,0.0003148746,0.001119112,0.0005790381,0.01939693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003306165,"threshold_uncertainty_score":0.0174849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880484311039066,"score_gpt":0.244144371866036,"score_spread":0.2253395287556453,"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."}}