{"id":"W6976392144","doi":"10.6068/dp14ba84ca80a24","title":"Trend 2001 - 2012. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Average operating revenues and expenses of farms, by revenue class and farm type, incorporated and unincorporated sectors | Variable: Other crop farming, $500,000 and over, Net operating income | Units: $CAD, 2001-2012. 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":"Revenue; Descriptive statistics; Economic statistics; Agriculture; Census; Summary statistics; Net income; Publication; Capital (architecture)","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":[0.00220801,0.002412159,0.002403268,0.008953415,0.003343814,0.004868852,0.004818724,0.001410001,0.09037191],"category_scores_gemma":[0.01814421,0.001629834,0.001999692,0.03885304,0.0005980577,0.002622684,0.002216138,0.002885476,0.05351473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05846002,"about_ca_system_score_gemma":0.1441097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952656,"about_ca_topic_score_gemma":0.9937528,"domain_scores_codex":[0.9954364,0.0002591257,0.0004193225,0.0005390024,0.00230032,0.001045863],"domain_scores_gemma":[0.9594385,0.001209904,0.001097045,0.001042313,0.0354209,0.001791227],"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":[0.00002373117,0.000006416788,0.001017435,0.0002288834,0.00001951159,0.000007899148,0.00002148579,0.0001182307,0.00001180634,0.000423329,0.9961298,0.001991416],"study_design_scores_gemma":[0.000102948,0.00001078688,0.02151303,0.0007207926,0.00005496432,0.00002410115,0.0003908775,0.0005032558,0.0001927657,0.0006053654,0.9757962,0.0000847699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000651352,0.00006178103,0.00003119926,0.000154669,0.00003161032,0.00001557944,0.9982814,0.00007178209,0.001286964],"genre_scores_gemma":[0.001048803,0.000367142,0.0005353127,0.0001900138,0.00002055283,0.0001136561,0.9917309,0.0001392591,0.005854365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09037191,"threshold_uncertainty_score":0.424159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128364188962123,"score_gpt":0.24183812032157,"score_spread":0.2205544784319488,"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."}}