{"id":"W2790449322","doi":"10.2134/csa2018.63.0310","title":"Maize Yield Potential","year":2018,"lang":"hu","type":"article","venue":"CSA News","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agronomy; Sowing; Biology; Crop; Irrigation; Agriculture; Yield (engineering); PEST analysis; Plant breeding; Horticulture; Ecology","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":[0.0003299387,0.000451253,0.0002702294,0.0007226525,0.0003365589,0.0007637544,0.0003774445,0.0002679361,0.04296784],"category_scores_gemma":[0.0006482407,0.0001022532,0.0004102184,0.0009163395,0.0001136751,0.000624971,0.0005125986,0.0003459745,0.01902023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008547788,"about_ca_system_score_gemma":0.0004153496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942452,"about_ca_topic_score_gemma":0.003520413,"domain_scores_codex":[0.9997904,0.00001697959,0.000009436381,0.00004067575,0.0001054284,0.0000370652],"domain_scores_gemma":[0.9997439,0.00002817933,0.00004141963,0.00002377173,0.0001123483,0.00005033594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001751128,0.0001515445,0.04779386,0.001840044,0.0004022728,0.0009244371,0.0007365116,0.004645719,0.1150566,0.05319274,0.1641597,0.6093454],"study_design_scores_gemma":[0.00008538769,0.0003108101,0.1014694,0.00009998573,0.0001075454,0.0007165513,0.000294382,0.001601833,0.01792113,0.01242777,0.8648953,0.00006986762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2153299,0.007206494,0.0209264,0.002693465,0.0005217336,0.0003645643,0.1198707,0.002905,0.6301817],"genre_scores_gemma":[0.7778245,0.004000106,0.006071936,0.0007044936,0.0001408632,0.0002602565,0.05939522,0.0004966152,0.1511061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04296784,"threshold_uncertainty_score":0.1437417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340660155682525,"score_gpt":0.2343899945745751,"score_spread":0.2009833930177498,"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."}}