{"id":"W6901697723","doi":"10.6068/dp14ba7faf5d692","title":"Trend 1976 - 2011. Statistics Canada. CANSIM: Agriculture - Livestock and Aquaculture | Country: Canada | Table: Census of Agriculture, focus on selected commodities | Variable: Pigs, 4,685 animals and over | Units: #, 1976-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Livestock; Agriculture; Economic statistics; Official statistics; Statistical analysis; Socioeconomic status; Social statistics","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":[0.002106624,0.002469328,0.002695802,0.00923906,0.003288611,0.00493215,0.004794592,0.00157025,0.1169832],"category_scores_gemma":[0.0173468,0.001912172,0.001935763,0.0429513,0.0006959888,0.002780315,0.00219315,0.003027055,0.06947047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05900597,"about_ca_system_score_gemma":0.1629331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949754,"about_ca_topic_score_gemma":0.9923253,"domain_scores_codex":[0.995437,0.0002862445,0.0004673198,0.0005475025,0.002181201,0.001080813],"domain_scores_gemma":[0.9637181,0.001215696,0.001047514,0.0009449027,0.03138157,0.001692261],"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":[0.0000179942,0.000005282427,0.0007726045,0.0002238746,0.00001601109,0.000005872932,0.00001996273,0.0001073885,0.000009336098,0.0004215661,0.9967325,0.001667628],"study_design_scores_gemma":[0.0001033992,0.00001018094,0.01993412,0.000675117,0.00005026995,0.00002333257,0.0004240697,0.0003950595,0.0001498325,0.0005598926,0.9776,0.00007471182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005233167,0.00005935404,0.00003210426,0.0001605902,0.00004024162,0.00001960031,0.998076,0.00007041527,0.001489415],"genre_scores_gemma":[0.001031001,0.0004693173,0.0005319976,0.0002266961,0.00002737244,0.0001680354,0.9894964,0.0001780337,0.007871171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1169832,"threshold_uncertainty_score":0.4281203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974006181491992,"score_gpt":0.2285303942496325,"score_spread":0.2087903324347125,"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."}}