{"id":"W6945771303","doi":"10.25814/2ha4-vr39","title":"Agricultural commodities: June quarter 2021","year":2021,"lang":"en","type":"article","venue":"Department of Agriculture, Fisheries and Forestry - ABARES","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Quarter (Canadian coin); Agricultural productivity; Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407093,0.0008234532,0.000342828,0.0008541832,0.0008501455,0.002209882,0.0004807823,0.001500675,0.1814833],"category_scores_gemma":[0.001182505,0.0002591975,0.0002565146,0.001261341,0.0002192641,0.001250054,0.0008120404,0.001365849,0.1611829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176111,"about_ca_system_score_gemma":0.002712561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04689899,"about_ca_topic_score_gemma":0.073675,"domain_scores_codex":[0.9996662,0.00001463326,0.00001210225,0.0000266105,0.000221611,0.00005868573],"domain_scores_gemma":[0.9995853,0.00001507899,0.00002788611,0.00001137349,0.0002769321,0.00008341657],"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":[0.00003947842,0.00001560646,0.0001576022,0.00008530226,0.000001313897,0.00001613233,0.000008260358,0.00005144612,0.00016919,0.0008564589,0.9811633,0.01743594],"study_design_scores_gemma":[0.00000483263,0.00001605611,0.002516352,0.00005042396,0.000001103456,0.00001264828,0.00003265815,0.0000848278,0.000115025,0.0002229457,0.9969399,0.000003285858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006909749,0.01104285,0.001133883,0.02007467,0.01723664,0.000427364,0.1003011,0.001203148,0.8416706],"genre_scores_gemma":[0.007677424,0.004257244,0.0005264675,0.003171255,0.0006372294,0.0001266024,0.02582984,0.0001702548,0.9576038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1814833,"threshold_uncertainty_score":0.6071223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009515571615754516,"score_gpt":0.2130363785416898,"score_spread":0.2035208069259353,"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."}}