{"id":"W6913002885","doi":"10.5683/sp2/34jmek","title":"Ontario feed grain prices, 2020 [Canada]","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Data set; Agribusiness; Foreign exchange; Food supply","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004808105,0.00157579,0.0009569674,0.00318081,0.001440847,0.001928264,0.001872682,0.0009328608,0.01912952],"category_scores_gemma":[0.003173998,0.0005267416,0.0007923424,0.01057738,0.0004320638,0.0008251931,0.0007911865,0.001068532,0.0208448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0124648,"about_ca_system_score_gemma":0.01812643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.94669,"about_ca_topic_score_gemma":0.9764473,"domain_scores_codex":[0.9991923,0.00004095845,0.00004656474,0.0001673424,0.0003963514,0.0001563741],"domain_scores_gemma":[0.997869,0.00009653412,0.0001291392,0.0001595078,0.001555198,0.0001905728],"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":[0.00004740165,0.00001255948,0.002244545,0.0001749525,0.00002370083,0.00001764338,0.00002148844,0.0002879793,0.00007317364,0.0003619319,0.994747,0.001987586],"study_design_scores_gemma":[0.00009536973,0.00001332994,0.03295107,0.0001627713,0.00003542504,0.00004935176,0.0001433397,0.001279727,0.0003188139,0.0004227107,0.9644784,0.00004968782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003687529,0.00008970129,0.00002753891,0.00005866132,0.00001603637,0.000006811686,0.9980343,0.00009464276,0.001303534],"genre_scores_gemma":[0.0008981701,0.00009685072,0.0001427114,0.00002714931,0.000004698168,0.00001643917,0.9975287,0.00001784599,0.001267487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05330998,"threshold_uncertainty_score":0.1072478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422047292633122,"score_gpt":0.2263691172027104,"score_spread":0.2121486442763791,"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."}}