{"id":"W6957764652","doi":"10.6068/dp14ba7fa50d132","title":"Trend 1962 - 2012. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Supply and disposition of food in Canada | Variable: Ice milk, Total disposition | Units: (kilolitres), 1962-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-151.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Descriptive statistics; Official statistics; Disposition; Census; Summary statistics; Statistics education; Food supply","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":[0.002052008,0.002435106,0.002612685,0.0085003,0.003048146,0.00484903,0.004873042,0.001532114,0.0941767],"category_scores_gemma":[0.0182988,0.001781319,0.002115422,0.04183922,0.0006863023,0.002591047,0.002233506,0.003154748,0.0612135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05293487,"about_ca_system_score_gemma":0.1383548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941468,"about_ca_topic_score_gemma":0.9916561,"domain_scores_codex":[0.9957725,0.000254751,0.0004399088,0.0005213475,0.002045256,0.0009661657],"domain_scores_gemma":[0.9671182,0.001129377,0.001007264,0.0009373017,0.02830889,0.001498969],"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":[0.00002010485,0.000005493105,0.000783616,0.000230207,0.00001761415,0.000006580269,0.00001831026,0.0001020631,0.000009317621,0.0003555208,0.9971391,0.0013121],"study_design_scores_gemma":[0.0001277697,0.0000100017,0.01805574,0.0006940936,0.00005515161,0.00002336358,0.000355294,0.0003422759,0.0001593606,0.0005675368,0.9795396,0.00006976713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004091799,0.00005001477,0.00002554763,0.0001244385,0.00003081632,0.00001386737,0.9987128,0.0000580719,0.0009434916],"genre_scores_gemma":[0.0008511377,0.0003308351,0.0004271797,0.0001831804,0.00002252089,0.0001213005,0.9929381,0.0001290716,0.004996618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0941767,"threshold_uncertainty_score":0.3840712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216820804113257,"score_gpt":0.2248616485878587,"score_spread":0.2126934405467261,"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."}}