{"id":"W6964545917","doi":"10.25814/ffgs-mx60","title":"Agricultural commodities: September quarter 2024","year":2024,"lang":"en","type":"article","venue":"Department of Agriculture, Fisheries and Forestry - ABARES","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underpinning; Commodity; Quarter (Canadian coin); Agriculture; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005164089,0.0002230723,0.0002181479,0.00003411663,0.00007125016,0.0001314317,0.00009615454,0.0001152713,0.0001632125],"category_scores_gemma":[0.000004028637,0.0001382291,0.0001052163,0.0001897194,0.00007944382,0.0002258799,0.00003380103,0.0001402869,0.0000148487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002593098,"about_ca_system_score_gemma":0.000007377784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001304375,"about_ca_topic_score_gemma":0.00002760056,"domain_scores_codex":[0.9991732,0.0000142871,0.0002502528,0.0002002604,0.0001466798,0.0002152761],"domain_scores_gemma":[0.9996277,0.00008061356,0.00002178601,0.0001458756,0.00003803991,0.00008597382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007560619,0.00004879096,0.003186768,0.0006375679,0.0003004184,0.00001358786,0.0008460681,0.0002248199,0.0009391424,0.0042217,0.9847658,0.004807759],"study_design_scores_gemma":[0.0001633439,0.0001158096,0.07488491,0.0001299229,0.0001012804,0.00007518531,0.001834461,0.0002725122,0.002896441,0.001028665,0.9181113,0.0003861736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9325214,0.0162857,0.001514417,0.0002976312,0.001250306,0.0005756959,0.0006469403,0.0008520299,0.04605589],"genre_scores_gemma":[0.993296,0.0006613283,0.002933882,0.00003347648,0.0002924107,0.0002230942,0.0003637794,0.00002525946,0.002170736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07169814,"threshold_uncertainty_score":0.563682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008510428858251737,"score_gpt":0.2198229697901714,"score_spread":0.2113125409319196,"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."}}