{"id":"W6939252755","doi":"10.6068/dp14ba7ef7ccc92","title":"Trend 1951 - 1984. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Index of farm production | Variable: Crop production | Units: 1981=100, 1951-1984. 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; Index (typography); Descriptive statistics; Agriculture; Production (economics); Census; Revenue; Summary statistics; Official 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001947392,0.002133939,0.002161065,0.009768297,0.003316581,0.004379805,0.00413871,0.001199651,0.09525341],"category_scores_gemma":[0.01443593,0.001653157,0.001661555,0.04198872,0.0006328087,0.002302632,0.002020524,0.002673787,0.0544242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05907888,"about_ca_system_score_gemma":0.1494641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953685,"about_ca_topic_score_gemma":0.9935149,"domain_scores_codex":[0.9958712,0.000200396,0.0003582492,0.0004710229,0.002145985,0.0009531117],"domain_scores_gemma":[0.96977,0.0008876452,0.0009179924,0.0008650325,0.02621904,0.001340302],"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":[0.00002455142,0.000006359431,0.001101183,0.0002576772,0.00002149018,0.000008556954,0.00002504385,0.0001340615,0.00001379201,0.0005018971,0.9955864,0.002319018],"study_design_scores_gemma":[0.00008085628,0.00000899177,0.02579173,0.0004754814,0.00004547927,0.0000191917,0.0003366386,0.0003079479,0.0001629982,0.0004558705,0.9722559,0.00005891503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000798102,0.0000769586,0.00003381314,0.0001394556,0.00003834817,0.00001826587,0.9978153,0.00007139317,0.00172669],"genre_scores_gemma":[0.001473213,0.0004914387,0.0005294249,0.0001663243,0.00002637502,0.0001348267,0.9863304,0.0001473186,0.01070056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9047466,"threshold_uncertainty_score":0.4286493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029209932653831,"score_gpt":0.2370942848048154,"score_spread":0.2168021854782771,"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."}}