{"id":"W7109376810","doi":"10.25814/seg6-pk47","title":"Agricultural commodities: December quarter 2025","year":2025,"lang":"","type":"article","venue":"Department of Agriculture, Fisheries and Forestry - ABARES","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Quarter (Canadian coin); Agriculture; Underpinning; Value (mathematics); Production (economics)","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":[0.0002251911,0.00112077,0.001404482,0.00005365661,0.0009861212,0.0006185784,0.0007519696,0.000797574,0.0004462823],"category_scores_gemma":[0.00005453644,0.0004099505,0.0006632799,0.00111453,0.0006363144,0.0007658366,0.0004610012,0.000526192,0.00002638775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009966821,"about_ca_system_score_gemma":0.00004168417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088115,"about_ca_topic_score_gemma":0.002881708,"domain_scores_codex":[0.9953408,0.0002648849,0.001447869,0.001119316,0.000727939,0.001099157],"domain_scores_gemma":[0.9978758,0.0003804183,0.0006377459,0.0002582762,0.0004507066,0.0003970612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002974489,0.0009541296,0.1328989,0.0007381031,0.001085168,0.00003668971,0.000833359,0.00001438656,0.01279085,0.007214013,0.8370595,0.006077467],"study_design_scores_gemma":[0.0006864659,0.0008084394,0.7051699,0.0006798092,0.0003303704,0.00005119145,0.009676537,0.000007150642,0.002189364,0.0005768776,0.2789938,0.0008301241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449458,0.01611103,0.000004409359,0.006271362,0.001571015,0.001555812,0.00124172,0.0001267214,0.02817219],"genre_scores_gemma":[0.9815145,0.002514409,0.00005949998,0.0004300298,0.0009409742,0.0001952017,0.001338655,0.00000495213,0.01300179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.572271,"threshold_uncertainty_score":0.9998353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162139686818696,"score_gpt":0.2137948149540323,"score_spread":0.2021734180858454,"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."}}