{"id":"W7064161526","doi":"","title":"AMethod to Estimate Climate Drivers ofMaize Yield PredictabilityLeveraging Genetic-by-Environment Interactions in the USand Canada","year":2024,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictability; Yield (engineering); Climate change; Crop yield; Sensitivity (control systems); Crop; Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007538939,0.0004729536,0.0003907359,0.001819769,0.001342976,0.0009445291,0.0008428728,0.0002223945,0.002262706],"category_scores_gemma":[0.002272079,0.0002137903,0.0008704831,0.002520681,0.0003940642,0.000258336,0.0007653729,0.0004090448,0.0001770899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01366877,"about_ca_system_score_gemma":0.01473473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803484,"about_ca_topic_score_gemma":0.9865579,"domain_scores_codex":[0.9994426,0.00006477585,0.00002743656,0.0001563854,0.0002027678,0.0001060433],"domain_scores_gemma":[0.9992618,0.000138806,0.0000845254,0.00007499471,0.0003752933,0.00006446772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002313763,0.00007797018,0.8492547,0.0001561169,0.0007745115,0.0001438395,0.0007636711,0.04160564,0.006350595,0.005124702,0.005926027,0.08959097],"study_design_scores_gemma":[0.00002971597,0.00003248598,0.931281,0.00002786775,0.0001254801,0.00005860321,0.0006029962,0.05135492,0.002537724,0.0009941414,0.01289548,0.00005954538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280483,0.0006618424,0.02745884,0.0002626328,0.00002217684,0.0002833489,0.03393573,0.0009463716,0.008380771],"genre_scores_gemma":[0.9601564,0.0003152617,0.02348713,0.00007273598,0.000005255402,0.0001605959,0.01195592,0.00009345998,0.003753248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01965159,"threshold_uncertainty_score":0.09917438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054701188796095,"score_gpt":0.2504929672358209,"score_spread":0.2399459553478599,"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."}}