{"id":"W4390398287","doi":"10.30835/2413-7510.2023.293891","title":"Залежність інтенсивності наливу зерна та вологовіддачі від цінних господарських ознак кукурудзи","year":2023,"lang":"en","type":"article","venue":"Plant Breeding and Seed Production","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ripeness; Ripening; Moisture; Water content; Horticulture; Agronomy; Biology; Environmental science; Materials science; Composite material; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007451699,0.0002979868,0.0002864493,0.00004819248,0.0008336121,0.0001836801,0.0001942522,0.0001568112,0.00005291327],"category_scores_gemma":[0.0001683714,0.0001231842,0.00008948977,0.0008209471,0.00008360559,0.0004735655,0.0001420705,0.0002932609,0.000167685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004505229,"about_ca_system_score_gemma":0.000007353403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005180154,"about_ca_topic_score_gemma":0.0002978211,"domain_scores_codex":[0.9977821,0.00007697639,0.0003187845,0.0008494571,0.0003956671,0.0005770305],"domain_scores_gemma":[0.9994233,0.00006722048,0.0001438018,0.0001006505,0.0001004328,0.0001646392],"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":[0.00008401485,0.0001097258,0.005306684,0.00005900727,0.00004985764,0.00000979269,0.0004549156,0.00006353594,0.8889718,0.00060134,0.01123556,0.09305375],"study_design_scores_gemma":[0.0008119543,0.001936185,0.6792261,0.0003377198,0.0002002466,0.0004386562,0.01059662,0.001380564,0.1314592,0.002958905,0.1684047,0.002249204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849568,0.0002408983,0.000003137602,0.01181636,0.001340537,0.0004333895,0.00007168971,0.0005977579,0.0005394222],"genre_scores_gemma":[0.9926204,0.000535032,0.00005022826,0.0001373671,0.002673856,0.00004322239,0.0004328622,0.000003316024,0.003503726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7575126,"threshold_uncertainty_score":0.6411554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333636814603233,"score_gpt":0.1933919290936091,"score_spread":0.1600282476332858,"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."}}