{"id":"W6977076991","doi":"10.6068/dp15e6f0e2c5146","title":"Trend 1988 - 2007. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Food Balance Sheets | Country: Canada | Item: Lemons, Limes and products | Element: Export Quantity - 1000 tonnes, 1988-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-068.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Food supply; Population; Food systems; Commodity; Balance sheet; Food security; Consumption (sociology)","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":[0.001446339,0.001843852,0.001864132,0.005774634,0.001143354,0.002880036,0.003448574,0.001183835,0.06786975],"category_scores_gemma":[0.01048217,0.001143745,0.001269883,0.02501109,0.0004175502,0.00233234,0.001539216,0.002880309,0.07553248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007283601,"about_ca_system_score_gemma":0.01616925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.700619,"about_ca_topic_score_gemma":0.6399575,"domain_scores_codex":[0.9981979,0.0001476804,0.0002012807,0.0003338695,0.0007813025,0.0003380236],"domain_scores_gemma":[0.9884574,0.0007502683,0.0008262568,0.0006892621,0.008795848,0.0004808963],"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":[0.00002116795,0.000007703814,0.0007511693,0.0002170177,0.0000139414,0.000005221727,0.000009500746,0.00008790253,0.00001211928,0.0002303355,0.9974923,0.001151682],"study_design_scores_gemma":[0.0001167431,0.00001178866,0.01586554,0.0005503556,0.00002800807,0.00001769832,0.0001871914,0.0002174637,0.0001301618,0.0005355539,0.9823028,0.00003653488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369144,0.0000223847,0.00001368314,0.00003632346,0.00001764575,0.000005950357,0.9994389,0.00003023772,0.0003979261],"genre_scores_gemma":[0.0001984482,0.00006553251,0.0001069863,0.00002630063,0.000007307916,0.00005109122,0.9987144,0.00003057892,0.000799288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.299381,"threshold_uncertainty_score":0.6022882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557249089458281,"score_gpt":0.2263239513081896,"score_spread":0.2107514604136068,"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."}}