{"id":"W6939255273","doi":"10.6068/dp14ba7bd0e9027","title":"Trend 1965 - 1975. Statistics Canada. CANSIM: Agriculture - Farm Financial Statistics | Country: Canada | Table: Average farm value of milk, cream and farm butter, sold by farmers | Variable: Average fluid (dollars per hundredweight) | Units: Cents per pound, 1965-1975. 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; Descriptive statistics; Agriculture; Census; Summary statistics; Revenue; Official statistics; 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":[0.002006372,0.002245049,0.002344612,0.01013488,0.00320835,0.004480085,0.004420197,0.001240593,0.08647972],"category_scores_gemma":[0.01621603,0.00163624,0.001809462,0.04646828,0.0006603996,0.002442939,0.002066823,0.002836024,0.05071831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06083375,"about_ca_system_score_gemma":0.1501505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957373,"about_ca_topic_score_gemma":0.9939166,"domain_scores_codex":[0.9956158,0.0002221427,0.0004326764,0.0005040456,0.00223339,0.0009917573],"domain_scores_gemma":[0.9639201,0.001015808,0.001055717,0.0009092443,0.03158493,0.001514267],"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":[0.00002450828,0.000006712017,0.001201211,0.0002901531,0.00002204447,0.000008698812,0.00002746046,0.0001280108,0.00001383118,0.0005193386,0.9954904,0.002267671],"study_design_scores_gemma":[0.00009188519,0.00001069472,0.02654728,0.0006781142,0.00005408115,0.00002374218,0.0004037336,0.0003539399,0.0001810075,0.000553165,0.971027,0.00007535001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006721067,0.00007396763,0.0000301314,0.0001147911,0.00003110344,0.00001604937,0.9982743,0.00006383035,0.001328714],"genre_scores_gemma":[0.001320687,0.0004820188,0.0005370538,0.0001474715,0.00002220893,0.0001158198,0.9902839,0.0001359908,0.0069549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08647972,"threshold_uncertainty_score":0.4413818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384738437095005,"score_gpt":0.2250227485868897,"score_spread":0.2111753642159397,"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."}}