{"id":"W7117673126","doi":"10.21273/hortsci18794-25","title":"Eastern North Dakota Hop Cultivar Evaluations Under Varied Training Density Management Programs","year":2025,"lang":"","type":"article","venue":"HortScience","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Trellis (graph); Hop (telecommunications); Yard; Yield (engineering); Crown (dentistry); Field trial","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001353519,0.0004564783,0.0003868858,0.0001540092,0.002083474,0.0001943372,0.0008827021,0.0003559322,0.0010843],"category_scores_gemma":[0.00005404961,0.0004946945,0.0001797146,0.002138433,0.001380686,0.000218123,0.0004964041,0.0007978518,0.0003778572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052117,"about_ca_system_score_gemma":0.0006032809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001568535,"about_ca_topic_score_gemma":0.00006050909,"domain_scores_codex":[0.9961912,0.0003434614,0.0007178419,0.001219484,0.0004875569,0.001040424],"domain_scores_gemma":[0.9980167,0.0002381992,0.000254681,0.0007679032,0.000277196,0.0004453497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004631108,0.008932345,0.2076853,0.001285837,0.002480377,0.0003648071,0.01141376,0.01327377,0.03636365,0.1455987,0.006688301,0.56545],"study_design_scores_gemma":[0.007265844,0.0003713862,0.2470359,0.0007141826,0.006181977,0.000118342,0.01702588,0.2368229,0.03079352,0.02465805,0.4254985,0.003513475],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611686,0.0005163306,0.02125556,0.003261338,0.001557333,0.002102669,0.00005351292,0.0001932832,0.1098914],"genre_scores_gemma":[0.9774899,0.000298715,0.00117181,0.002260386,0.0001517861,0.0004599102,0.00009049402,0.00001695915,0.01806002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5619366,"threshold_uncertainty_score":0.9998288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052930612204535,"score_gpt":0.4722471352413932,"score_spread":0.2669540740209397,"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."}}