{"id":"W6958043420","doi":"10.6068/dp14ba805210238","title":"Trend 1960 - 2012. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Supply and disposition of food in Canada | Variable: Strawberries canned, Total supply | 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; Food supply; Official statistics; Descriptive statistics; Census; Summary statistics; Statistical analysis; Social 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":[0.0019139,0.002354493,0.002576728,0.008738315,0.003092763,0.004660205,0.004864762,0.001481924,0.08787578],"category_scores_gemma":[0.01664603,0.001753208,0.002117387,0.04229063,0.0006934659,0.002645607,0.002174926,0.003086613,0.05545571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05547907,"about_ca_system_score_gemma":0.1433997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948271,"about_ca_topic_score_gemma":0.9925143,"domain_scores_codex":[0.9958767,0.000231051,0.0004117335,0.0005030162,0.0020125,0.000965047],"domain_scores_gemma":[0.9692663,0.0009517312,0.0009332028,0.0008318454,0.02658657,0.001430422],"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":[0.00002058836,0.000005565624,0.000874123,0.0002391507,0.00001799471,0.00000667214,0.0000194504,0.0001056172,0.000009354371,0.0004239983,0.9967726,0.001504972],"study_design_scores_gemma":[0.0001183291,0.00001052739,0.01978385,0.0006930568,0.00005816856,0.0000243427,0.0003747754,0.0003525834,0.0001617778,0.0005780775,0.9777739,0.00007072564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004721503,0.00005711276,0.00002525159,0.0001289524,0.00003213956,0.00001348955,0.998643,0.00005798754,0.0009949562],"genre_scores_gemma":[0.0009599545,0.0003944123,0.0004398699,0.0001786835,0.00002288449,0.0001150768,0.9923996,0.000123028,0.00536645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08787578,"threshold_uncertainty_score":0.4025307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361445193718008,"score_gpt":0.2134803340765805,"score_spread":0.1998658821394004,"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."}}