{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750294,0.0001827305,0.0001566423,0.00003980934,0.000331585,0.0002495427,0.0001044647,0.0001001957,0.0001017999],"category_scores_gemma":[0.00008159201,0.00007811458,0.00006171427,0.0003592963,0.00003928267,0.0003024852,0.00004615885,0.0002064662,0.00006404169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003451758,"about_ca_system_score_gemma":0.000008643976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003127147,"about_ca_topic_score_gemma":0.00009280292,"domain_scores_codex":[0.9986561,0.00003153156,0.0002433518,0.000538971,0.0002415804,0.0002884464],"domain_scores_gemma":[0.9996777,0.00007603037,0.00005835222,0.00005792469,0.00004442172,0.0000855866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003512267,0.00005644202,0.002141179,0.00005502432,0.00003452603,0.000005742289,0.0004267659,0.000006408011,0.8520294,0.001866845,0.007965101,0.1353775],"study_design_scores_gemma":[0.000529959,0.001358349,0.2505889,0.0006986052,0.0001625848,0.0004912124,0.004702394,0.004325794,0.0952293,0.002772796,0.6376252,0.001514925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983246,0.0007049419,0.00001331309,0.01159182,0.001912263,0.0002669609,0.00003704222,0.0003397009,0.001887957],"genre_scores_gemma":[0.9920452,0.0003887234,0.00006806728,0.000230551,0.001733092,0.00002146641,0.0001663111,0.000002420881,0.005344152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7568001,"threshold_uncertainty_score":0.318542,"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."}}