{"id":"W4360862854","doi":"10.3390/genes14040777","title":"Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs","year":2023,"lang":"en","type":"review","venue":"Genes","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food security; Big data; Computer science; Population; Field (mathematics); Plant breeding; Artificial intelligence; Resilience (materials science); Machine learning; Biotechnology; Data science; Biology; Data mining; Agronomy; Mathematics; Agriculture; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004954935,0.0008174209,0.0009317088,0.001993096,0.000674213,0.00275924,0.002569983,0.001458499,0.00457624],"category_scores_gemma":[0.007403666,0.000373558,0.0009485034,0.002434548,0.001117646,0.002017166,0.001775588,0.002640973,0.001902088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177766,"about_ca_system_score_gemma":0.002372806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002643622,"about_ca_topic_score_gemma":0.003916027,"domain_scores_codex":[0.9977236,0.001090716,0.0001144297,0.0004541144,0.0004846865,0.0001324214],"domain_scores_gemma":[0.9966522,0.002129696,0.0002784295,0.0002748115,0.0005450466,0.0001199019],"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":[0.0001253573,0.0003104709,0.006726684,0.001398251,0.0002341433,0.0003213268,0.0004138197,0.08128063,0.003685933,0.08296432,0.01254837,0.8099906],"study_design_scores_gemma":[0.00009466706,0.0003201358,0.00817595,0.001384587,0.000241609,0.0005243141,0.0006719725,0.4225392,0.006953858,0.329367,0.2295649,0.0001619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01503523,0.02273292,0.9263716,0.006893781,0.0005816314,0.0003354634,0.000734277,0.001722209,0.02559283],"genre_scores_gemma":[0.2197434,0.02418984,0.7394894,0.002592959,0.0005341161,0.0007626496,0.001865631,0.0004426032,0.01037946],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004954935,"threshold_uncertainty_score":0.02620453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3690798721422152,"score_gpt":0.282585624053754,"score_spread":0.08649424808846112,"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."}}