{"id":"W7112533952","doi":"","title":"Establishment of Early Winter Seeding of Forages in Cold Regions of Japan","year":2025,"lang":"","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seeding; Forage; Grassland; Spring (device); Precipitation; Germination","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":[0.000396775,0.0001703138,0.0005004279,0.0005985735,0.00007434829,0.000006702791,0.0006058603,0.0001141893,0.0009130274],"category_scores_gemma":[0.00003802031,0.0002237524,0.000213769,0.00120704,0.0006730606,0.0003643147,0.0007411722,0.000140162,0.00001246103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304712,"about_ca_system_score_gemma":0.00006317288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890043,"about_ca_topic_score_gemma":0.003424728,"domain_scores_codex":[0.9984975,0.00008087113,0.000477894,0.0003548562,0.0003413152,0.000247523],"domain_scores_gemma":[0.9987601,0.00007901744,0.0005690182,0.0004056918,0.0001056858,0.00008049493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001067721,0.005699694,0.5937421,0.003973317,0.0009015189,0.00002472243,0.07293941,0.001976394,0.1086571,0.1089392,0.02872277,0.07335603],"study_design_scores_gemma":[0.003879675,0.0007846248,0.8986164,0.002343875,0.0003915976,3.725891e-7,0.05051367,0.001893937,0.01762479,0.0007941209,0.02276365,0.0003932814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356636,0.0002866515,0.002299301,0.0006509467,0.0003059094,0.0005898401,0.00004383855,0.000009477998,0.06015044],"genre_scores_gemma":[0.9849708,0.0004599399,0.0009493274,0.00001170034,0.000004037502,4.190567e-7,0.000002584588,0.000006629375,0.01359458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3048743,"threshold_uncertainty_score":0.999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181319442584168,"score_gpt":0.2083014949996868,"score_spread":0.1964883005738451,"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."}}