{"id":"W4405826271","doi":"10.30835/2413-7510.2024.318768","title":"Особливості наливу зерна та реакції на добрива у сортів рису різних агроекологічних типів","year":2024,"lang":"en","type":"article","venue":"Plant Breeding and Seed Production","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Agronomy; Environmental science; Agricultural engineering; Ecology; Agroforestry; Biology; Engineering","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":[0.0004955867,0.0002329632,0.0002138912,0.001060826,0.00116512,0.001645929,0.000280204,0.0004932896,0.008468462],"category_scores_gemma":[0.0008413875,0.0004702252,0.0003052572,0.0009414895,0.001297032,0.0006855048,0.0005792152,0.0008111735,0.002595377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008747327,"about_ca_system_score_gemma":0.001448075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004360964,"about_ca_topic_score_gemma":0.01166174,"domain_scores_codex":[0.9994955,0.00007544154,0.00003239531,0.0001134948,0.0002052438,0.00007782088],"domain_scores_gemma":[0.9995164,0.00009541453,0.0001089988,0.00007643017,0.0001587042,0.00004406017],"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":[0.0004214275,0.0001416102,0.03019543,0.0009211927,0.00008539297,0.004549606,0.006046353,0.003926312,0.4557216,0.1018239,0.00281413,0.3933532],"study_design_scores_gemma":[0.00006022629,0.0003988442,0.1484645,0.0003805054,0.0001841219,0.007387318,0.009039831,0.003757482,0.2182961,0.07275591,0.5389844,0.0002908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7098772,0.01169771,0.09173711,0.001222807,0.0003587945,0.0001779344,0.000818152,0.0003664523,0.1837438],"genre_scores_gemma":[0.951646,0.003957207,0.0269646,0.00006400073,0.00005225541,0.000101814,0.0002258009,0.0001031125,0.01688514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008468462,"threshold_uncertainty_score":0.02832979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266751596878593,"score_gpt":0.2078798638596602,"score_spread":0.1752123478908743,"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."}}