{"id":"W6976800371","doi":"10.6068/dp15df525300889","title":"Trend 1961 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Production - Livestock Primary | Country: Canada | Item: Sheep and Goat Meat | Element: Production - tonnes, 1961-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-016.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Livestock; European union; Production (economics); Food processing; Agency (philosophy)","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":[0.0004190388,0.0003630799,0.0003959622,0.0001616897,0.001072148,0.0002847366,0.0008048677,0.0006078117,0.0001830858],"category_scores_gemma":[0.0003638899,0.0002702139,5.03251e-7,0.0005718417,0.0005621457,0.0005204831,0.0003643342,0.00041959,0.000004244112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214509,"about_ca_system_score_gemma":0.0004026346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7844897,"about_ca_topic_score_gemma":0.9027439,"domain_scores_codex":[0.9974859,0.000275665,0.0004424224,0.0008579906,0.0006446021,0.0002934085],"domain_scores_gemma":[0.9975753,0.0001197992,0.0009087119,0.001063553,0.0002392506,0.00009342308],"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":[0.000005013546,0.00005941362,0.0002783422,0.0004019185,0.0001476597,0.000001113302,0.000149343,0.000001908577,0.00008152767,0.004977822,0.9937998,0.00009611372],"study_design_scores_gemma":[0.0002573295,0.00006559734,0.0004232145,0.00004857602,0.0002770085,0.00003517095,0.001348566,0.00001530946,0.000002637089,0.000003436915,0.9971752,0.0003480081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001056374,0.001022523,0.00001144633,0.0002579812,0.0006242852,0.00139101,0.9960147,0.0001056465,0.0004667897],"genre_scores_gemma":[0.0008869205,0.009886093,0.0001752884,0.00006544476,0.0004664296,0.00001214287,0.986195,0.00006196228,0.002250768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182542,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430013995016812,"score_gpt":0.2300515333703109,"score_spread":0.2157513934201428,"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."}}