{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003423497,0.0004852887,0.0005919193,0.00007489305,0.00008486326,0.0001038092,0.0007836985,0.0003782927,0.000361281],"category_scores_gemma":[0.00007538019,0.0004596411,2.41656e-7,0.000108068,0.0001943247,0.0000417121,0.0006872693,0.0004289239,0.000001175106],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212596,"about_ca_system_score_gemma":0.02036525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999055,"about_ca_topic_score_gemma":0.9999754,"domain_scores_codex":[0.9968674,0.000195097,0.0007063775,0.0007221813,0.000815701,0.0006932202],"domain_scores_gemma":[0.9976105,0.0001983735,0.0003418812,0.00120013,0.00006442582,0.0005847083],"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":[0.0001284506,0.00003681625,0.00003434083,0.0007052581,0.000189353,0.00007859347,0.00000299938,0.000009238738,0.00008041733,0.00003132038,0.9979556,0.0007475964],"study_design_scores_gemma":[0.0008511959,0.0002773574,0.00007353345,0.00005356891,0.0001175612,0.00007740514,0.0001425512,0.0005051098,0.000007642965,3.369829e-7,0.9973651,0.0005286421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001092912,0.003604144,0.00001824086,0.00000521348,0.0003242844,0.0004301685,0.9948163,0.000006086,0.0006862804],"genre_scores_gemma":[0.001716975,0.001353872,0.000130235,0.0001745744,0.0001632306,0.000009887727,0.9953017,0.00007972735,0.001069769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02004399,"threshold_uncertainty_score":0.9997855,"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."}}