{"id":"W6901699131","doi":"10.6068/dp14ba810334773","title":"Trend 1960 - 1995. Statistics Canada. CANSIM: Manufacturing - Food, Beverage and Tobacco | Country: Canada | Table: Supply and disposition of food in Canada | Variable: Strawberries frozen, Total disposition | Units: Tonnes, 1960-1995. 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; Disposition; Descriptive statistics; Census; Statistical analysis; Food supply; Summary 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004954963,0.001303967,0.001698826,0.0002273024,0.0002321267,0.0003683441,0.00149928,0.0005040852,0.001325102],"category_scores_gemma":[0.00008137693,0.001378347,2.483003e-7,0.000416193,0.0003251914,0.0006994162,0.0009226097,0.001060866,0.000005345479],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764394,"about_ca_system_score_gemma":0.03065426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999998,"about_ca_topic_score_gemma":0.9999995,"domain_scores_codex":[0.9929825,0.0005393701,0.001488944,0.001787406,0.001889641,0.001312115],"domain_scores_gemma":[0.9944448,0.0008006911,0.001117651,0.002616004,0.00008303241,0.0009377594],"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":[0.0003286568,0.00007579504,0.000173673,0.001140778,0.0005379772,0.0008534485,0.000007517898,0.0001114351,0.00001193375,0.0004318149,0.9961509,0.0001761389],"study_design_scores_gemma":[0.001742775,0.0002371902,0.0001840243,0.0002005797,0.0006208487,0.0004057667,0.0004570698,0.000895846,8.934729e-7,7.220723e-7,0.9937925,0.001461785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001084364,0.002989399,0.000005676582,0.000002944642,0.0006526024,0.001064887,0.9944298,0.00005855855,0.0006876807],"genre_scores_gemma":[0.003581106,0.000378596,0.0001585745,0.000130892,0.0001825739,0.0000320084,0.9946967,0.0004721065,0.0003674491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02888986,"threshold_uncertainty_score":0.9999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303444694358912,"score_gpt":0.2109791661950678,"score_spread":0.1979447192514787,"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."}}