{"id":"W6976491737","doi":"10.6068/dp14ba813048939","title":"Trend 1976 - 2009. Statistics Canada. CANSIM: Agriculture - Food and Nutrition | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Asparagus, canned, Calcium, Nutrients available | Units: Milligrams, 1976-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-005.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Economic statistics; Census; Official statistics; Commodity; Food security; Summary statistics; 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":[0.002233536,0.002445912,0.002878593,0.008505397,0.003447229,0.004931728,0.005237626,0.001548753,0.1199719],"category_scores_gemma":[0.01763951,0.001778446,0.002406749,0.04429844,0.0006995845,0.002688448,0.002378132,0.003122284,0.0666347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05951856,"about_ca_system_score_gemma":0.1524825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948162,"about_ca_topic_score_gemma":0.9924671,"domain_scores_codex":[0.9957586,0.0002951438,0.0004714037,0.0005568002,0.001989529,0.0009285797],"domain_scores_gemma":[0.9650764,0.001306191,0.001001379,0.001028245,0.03003637,0.001551532],"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":[0.00002893057,0.000006512989,0.0009718472,0.0003302291,0.00002489724,0.000006681341,0.00002195077,0.0001070465,0.00001243763,0.000444838,0.9960495,0.001995099],"study_design_scores_gemma":[0.0001392571,0.00001194865,0.01990537,0.0008779169,0.00007356328,0.00002515528,0.0003930955,0.000357612,0.0001695791,0.0006968947,0.9772655,0.00008411588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004432766,0.00006281045,0.00002724146,0.0001227189,0.00003153778,0.00001641598,0.9985632,0.00005890028,0.00107281],"genre_scores_gemma":[0.0009373589,0.0004760362,0.0005462177,0.0002054291,0.00002115526,0.0001595971,0.9918568,0.0001514551,0.005645915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1199719,"threshold_uncertainty_score":0.4318394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286151104225921,"score_gpt":0.2377604243479655,"score_spread":0.2091453139253734,"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."}}