{"id":"W2161994494","doi":"","title":"Selecting maize for rapid kernel drydown: timing of moisture measurement.","year":2014,"lang":"en","type":"article","venue":"Maydica","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Moisture; Biology; Hybrid; Water content; Agronomy; Zea mays; Horticulture; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000651319,0.0000851083,0.0001527683,0.000005459165,0.0001522709,0.00002383391,0.0001531848,0.0000706092,0.0002069536],"category_scores_gemma":[0.0003372525,0.00003197498,0.0001055982,0.0001262335,0.00003086032,0.00003339705,0.00003096727,0.00007055842,0.000004784919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435695,"about_ca_system_score_gemma":0.00000488612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090953,"about_ca_topic_score_gemma":0.0003231192,"domain_scores_codex":[0.9991928,0.0000442004,0.000172181,0.0001906335,0.00020435,0.000195879],"domain_scores_gemma":[0.9995449,0.0001595777,0.00007040177,0.00005137085,0.0001205985,0.0000531807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001084118,0.0001164609,0.01251271,0.00007237255,0.00002429329,3.706511e-7,0.0002028199,0.000001860266,0.5084188,0.0003924533,0.004187973,0.4739614],"study_design_scores_gemma":[0.0006963763,0.0007755427,0.7168907,0.0001557113,0.00005543463,0.000004575122,0.0004446344,0.001825706,0.07664386,0.003822106,0.1981899,0.0004954007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909703,0.000168391,0.0001499618,0.001491594,0.0001127782,0.000188552,0.00001152026,0.00005534285,0.006851538],"genre_scores_gemma":[0.9992568,0.000006471243,0.0001783459,0.0001537332,0.0002227804,0.00001063606,0.00001003426,6.996879e-7,0.0001605191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.704378,"threshold_uncertainty_score":0.2265997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708802212618791,"score_gpt":0.2257418634614893,"score_spread":0.1786538413353014,"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."}}