{"id":"W7111692040","doi":"","title":"Effect of Windrow Inversion on Hay Drying and Losses","year":2025,"lang":"","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hay; Field experiment; Inversion (geology); Nutrient; TOPS","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"],"consensus_categories":[],"category_scores_codex":[0.0001923796,0.000231315,0.0004133214,0.0003524479,0.0001389286,0.00000897673,0.0001817707,0.0002151673,0.00004733295],"category_scores_gemma":[0.00009522768,0.000251339,0.000112373,0.0006767398,0.00007796308,0.0001720995,0.0001364891,0.0002011068,0.00001751397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127846,"about_ca_system_score_gemma":0.00002466325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004666625,"about_ca_topic_score_gemma":0.00001417868,"domain_scores_codex":[0.9991806,0.00007065113,0.0001577839,0.0002573298,0.0001353012,0.0001983689],"domain_scores_gemma":[0.9993189,0.0001821218,0.00008983321,0.0001975,0.000125191,0.00008647228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002085347,0.0007062471,0.00528243,0.04423743,0.00247064,0.0001237292,0.01852563,0.07989237,0.2993245,0.02842002,0.02539888,0.4935327],"study_design_scores_gemma":[0.01103888,0.004684893,0.01059491,0.01781942,0.002463373,0.00001327787,0.005411908,0.3103889,0.614786,0.0002138422,0.02073248,0.001852205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814944,0.001498523,0.007191672,0.0000882194,0.0008200333,0.0003152021,0.00001146949,0.00009950418,0.00848104],"genre_scores_gemma":[0.9961047,0.0007728979,0.0002265101,0.000002822447,0.00002592763,1.365282e-7,0.00001034002,0.00001202264,0.00284467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4916805,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002368892647054368,"score_gpt":0.1652228959365225,"score_spread":0.1628540032894681,"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."}}