{"id":"W6976473381","doi":"10.6068/dp14ba7c2e0ea76","title":"Trend 2001 - 2011. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Farm financial survey, capital investment and capital sales of farms, average per farm | Variable: Breeding and replacement livestock, investment | Units: $CAD, 2001-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-003.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Investment (military); Descriptive statistics; Census; Revenue; Capital (architecture); Agriculture; Summary 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":[0.002348064,0.002364902,0.002446487,0.009483912,0.003479708,0.005041533,0.004663407,0.001459317,0.08462774],"category_scores_gemma":[0.01667181,0.001820077,0.001993375,0.04085931,0.0006323216,0.002546196,0.002223119,0.002977475,0.04585198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07220427,"about_ca_system_score_gemma":0.1748894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963323,"about_ca_topic_score_gemma":0.9949121,"domain_scores_codex":[0.9949569,0.0002884711,0.0004770898,0.0005286683,0.002562904,0.001186017],"domain_scores_gemma":[0.960434,0.001145484,0.001122701,0.0009367312,0.03455951,0.00180157],"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":[0.00002659267,0.000007187004,0.001165509,0.0002680368,0.00002208819,0.000009030889,0.00002498939,0.0001266759,0.00001277296,0.0004941392,0.9955914,0.002251599],"study_design_scores_gemma":[0.0001069703,0.00001213971,0.02706426,0.000819985,0.00006777261,0.00002802147,0.0004901313,0.0005146667,0.0001996109,0.0006007915,0.9700041,0.0000915954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007985852,0.00008939917,0.00003586802,0.0001989473,0.00004246207,0.00002050786,0.9978548,0.00007645025,0.001601615],"genre_scores_gemma":[0.001439576,0.0005615394,0.0006924135,0.0002560258,0.00002569545,0.0001466518,0.9880953,0.0001614302,0.008621496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08462774,"threshold_uncertainty_score":0.5238811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461168395865572,"score_gpt":0.2323932905226642,"score_spread":0.2077816065640085,"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."}}