{"id":"W4409339737","doi":"10.20900/cbgg20250002","title":"Embracing the Omics Era for Plant Breeding","year":2025,"lang":"en","type":"article","venue":"Crop Breeding Genetics and Genomics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Western Grains Research Foundation; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan","keywords":"Omics; Biology; Data science; Computational biology; Biotechnology; Geography; Computer science; Bioinformatics","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":[0.01783295,0.001110693,0.002221865,0.002745651,0.001042247,0.006555523,0.001886008,0.002497292,0.006061074],"category_scores_gemma":[0.01269435,0.0004336387,0.001533302,0.003456261,0.002224903,0.007605217,0.005238419,0.007711985,0.003149207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260403,"about_ca_system_score_gemma":0.004685631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711247,"about_ca_topic_score_gemma":0.001996527,"domain_scores_codex":[0.9957572,0.00204004,0.0002420279,0.0005186046,0.001213235,0.0002288249],"domain_scores_gemma":[0.9853305,0.006328175,0.0009306571,0.002418341,0.003281224,0.00171115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005178518,0.0001570415,0.005942864,0.004454108,0.0009688548,0.0006488382,0.001029954,0.002962733,0.06941193,0.1767569,0.1234708,0.613678],"study_design_scores_gemma":[0.00003897772,0.0001152234,0.006052318,0.001343708,0.0002209401,0.0004856148,0.0005185573,0.002467883,0.005207322,0.1543676,0.8290836,0.00009820487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01623126,0.2006605,0.4678136,0.2507021,0.01130924,0.0004200639,0.01297374,0.005153085,0.03473629],"genre_scores_gemma":[0.07449128,0.1826878,0.6314088,0.07430797,0.01141378,0.0008812959,0.01221258,0.001721322,0.01087524],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01783295,"threshold_uncertainty_score":0.09431076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179402208080752,"score_gpt":0.2181259429065872,"score_spread":0.2063319208257797,"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."}}