{"id":"W6976884082","doi":"10.6068/dp15dfd0657bb33","title":"Trend 1961 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Trade - Live Animals | Country: Canada | Item: Horses | Element: Export Value - 1000 US$, 1961-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-026.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Optical Coatings and Gratings","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agency (philosophy); European union; Mandate; Value (mathematics); Food systems; Food security","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":[0.001595655,0.001751133,0.001728213,0.005777307,0.0009748376,0.002663921,0.002966285,0.001138436,0.07969772],"category_scores_gemma":[0.01066198,0.000968445,0.001076504,0.02628521,0.0003782563,0.002334785,0.001503075,0.002335385,0.0720529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006148862,"about_ca_system_score_gemma":0.01340698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5552012,"about_ca_topic_score_gemma":0.4819536,"domain_scores_codex":[0.9980232,0.0001696027,0.0002501305,0.0003751135,0.0008263527,0.0003556757],"domain_scores_gemma":[0.9904489,0.0008675993,0.0009410505,0.0006639347,0.006605542,0.0004729463],"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":[0.00002520554,0.000009209068,0.0009142123,0.000276029,0.00001588999,0.000006158936,0.00001071174,0.0001098324,0.00001701069,0.0002891101,0.9969109,0.001415779],"study_design_scores_gemma":[0.0001181619,0.00001330545,0.01687942,0.0005604,0.00003211115,0.00001878798,0.0001876616,0.0002019089,0.0001531835,0.0005375473,0.9812613,0.00003636366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003678128,0.00002179352,0.00001453968,0.00003352546,0.00001810413,0.000006322624,0.9994205,0.00002345439,0.0004250282],"genre_scores_gemma":[0.0002302086,0.0000715936,0.0001121723,0.0000276534,0.000007833151,0.00005487665,0.9985441,0.00002649453,0.0009251946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4447988,"threshold_uncertainty_score":0.8948365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443895577381642,"score_gpt":0.2263708187595687,"score_spread":0.2119318629857523,"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."}}