{"id":"W6976591035","doi":"10.6068/dp14ba84d37be79","title":"Trend 1960 - 2012. Statistics Canada. CANSIM: Agriculture - Food and Nutrition | Country: Canada | Table: Food available in Canada | Variable: Shortening and shortening oils, Food available adjusted for losses | Units: Kilograms per person, per year, 1960-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-005.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Census; Summary statistics; Economic statistics; Official statistics; Food supply; Food security; Food systems; Statistical analysis","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":[0.002317853,0.002519423,0.002875648,0.009024313,0.003245501,0.004891769,0.005074097,0.0015852,0.1146435],"category_scores_gemma":[0.0177025,0.001916068,0.002276749,0.04505349,0.000695458,0.002844747,0.002425268,0.003191761,0.06283103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06039171,"about_ca_system_score_gemma":0.1543595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946541,"about_ca_topic_score_gemma":0.9920425,"domain_scores_codex":[0.995669,0.0003001646,0.0004638236,0.000544686,0.002020397,0.001001857],"domain_scores_gemma":[0.9658798,0.001211693,0.001064638,0.001014268,0.02916885,0.001660821],"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":[0.00002680005,0.00000652365,0.0008796491,0.0002994714,0.0000234899,0.000006762956,0.0000216233,0.0001048395,0.00001086266,0.0004349692,0.9963298,0.001855223],"study_design_scores_gemma":[0.000138716,0.00001193161,0.02087394,0.0008474276,0.00007071305,0.00002663885,0.0003832688,0.0003565655,0.00016653,0.0006337516,0.9764053,0.0000851677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004644851,0.00006729406,0.00002795934,0.0001388968,0.0000342483,0.00001632119,0.9984297,0.00006720901,0.001171949],"genre_scores_gemma":[0.001027785,0.0004825957,0.0005218273,0.0002142782,0.00002411582,0.0001517504,0.9910097,0.0001654977,0.006402431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146435,"threshold_uncertainty_score":0.4381745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799517458039373,"score_gpt":0.2492866862874591,"score_spread":0.2112915117070654,"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."}}