{"id":"W6939176257","doi":"10.6068/dp14ba7fc187e95","title":"Trend 1960 - 2012. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Supply and disposition of food in Canada | Variable: Powder skim milk, Production | Units: Tonnes x 1,000, 1960-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-151.","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; Production (economics); Statistics education; Statistical analysis; Census; Descriptive statistics; Food processing; Food supply; 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":[],"consensus_categories":[],"category_scores_codex":[0.001991652,0.002472039,0.002713159,0.008830987,0.003039748,0.004741434,0.004971039,0.001527795,0.08730987],"category_scores_gemma":[0.01795499,0.001790304,0.00218269,0.04310959,0.0007082101,0.002630878,0.002247005,0.003121624,0.05615152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05473404,"about_ca_system_score_gemma":0.1421032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945516,"about_ca_topic_score_gemma":0.9919764,"domain_scores_codex":[0.9956859,0.0002509631,0.0004561123,0.0005409463,0.002083657,0.0009823744],"domain_scores_gemma":[0.9675871,0.001051613,0.001002133,0.0009033018,0.02796892,0.001486952],"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":[0.00002017181,0.000005334156,0.0008224609,0.000247354,0.00001880131,0.000006461289,0.00001835024,0.0001048719,0.000009035486,0.0003869209,0.9969971,0.001363206],"study_design_scores_gemma":[0.0001281416,0.00001056514,0.01981677,0.0007212104,0.00006130442,0.00002454626,0.0003567618,0.0003561016,0.0001601924,0.0005729945,0.9777176,0.00007368524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00004205918,0.00005380159,0.00002308916,0.0001237898,0.00003025428,0.00001254426,0.9987728,0.00005507693,0.0008865165],"genre_scores_gemma":[0.0008912264,0.000360527,0.000405928,0.0001715058,0.00002228962,0.0001118205,0.9933143,0.0001163224,0.004606026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08730987,"threshold_uncertainty_score":0.3971251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571081993590605,"score_gpt":0.2163667886423206,"score_spread":0.2006559687064145,"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."}}