{"id":"W6976413659","doi":"10.6068/dp14ba849a29237","title":"Trend 1960 - 2010. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Food available by major groups in Canada | Variable: Total processed fruits (fresh equivalent), Food available | Units: Kilograms per person, per year, 1960-2010. 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; Official statistics; Census; Summary statistics; Statistical analysis; Agriculture; Social statistics; Descriptive statistics; Food processing","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":[0.001957219,0.0023367,0.002684968,0.009082698,0.003031038,0.004464468,0.004816157,0.001446937,0.0804036],"category_scores_gemma":[0.01637595,0.001727866,0.002238181,0.04387803,0.0007012636,0.002648584,0.002185053,0.003132202,0.04825305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05701497,"about_ca_system_score_gemma":0.1468422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953741,"about_ca_topic_score_gemma":0.9931941,"domain_scores_codex":[0.995864,0.0002367089,0.0004444137,0.0004914061,0.002029441,0.0009340535],"domain_scores_gemma":[0.9687372,0.0009510665,0.0009791304,0.0007679278,0.02714972,0.001414963],"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":[0.00002442055,0.000006183062,0.001079663,0.0003156738,0.00002370343,0.000007762053,0.00002255187,0.0001103971,0.00001005359,0.0004247709,0.9962158,0.001759047],"study_design_scores_gemma":[0.0001391146,0.00001271549,0.02589303,0.0008635931,0.00008058162,0.00003046519,0.0004381078,0.0003673054,0.0001621969,0.0005927989,0.9713395,0.00008058716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005339495,0.00007812569,0.00002405586,0.0001330992,0.00003557274,0.00001453989,0.9986277,0.0000516499,0.0009819644],"genre_scores_gemma":[0.001154118,0.0005100807,0.0004374784,0.0001953083,0.00002509302,0.0001210307,0.9922177,0.0001169504,0.005222158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0804036,"threshold_uncertainty_score":0.4136745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799540030898963,"score_gpt":0.2167156474444163,"score_spread":0.1887202471354267,"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."}}