{"id":"W6957805047","doi":"10.6068/dp15e7a52b98170","title":"Trend 1990 - 2010. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Environment - Emissions by Sector | Country: Canada | Item: Sources total excl. AFOLU | Element: Emissions (CO2eq) from F-gases - Gigagrams, 1990-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-065.","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; European union; Greenhouse gas; Official statistics; Economic sector; Food systems; Food processing","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":[0.001232545,0.001964355,0.001818263,0.00479117,0.0009016031,0.002624589,0.002917338,0.001240379,0.04981196],"category_scores_gemma":[0.008527123,0.001067079,0.001337721,0.0222499,0.0003867272,0.002701628,0.001551081,0.002650889,0.05401731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005395931,"about_ca_system_score_gemma":0.01061537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5352446,"about_ca_topic_score_gemma":0.4289666,"domain_scores_codex":[0.998354,0.0001512023,0.0002160889,0.000344424,0.0006400561,0.0002942583],"domain_scores_gemma":[0.9933861,0.0005566693,0.0005924429,0.000446997,0.00470231,0.0003155237],"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":[0.00002232593,0.000009421721,0.001067088,0.0003114046,0.00002274075,0.000007230535,0.00001036395,0.000138758,0.00002013518,0.0003056341,0.9965696,0.001515346],"study_design_scores_gemma":[0.0001173051,0.00001373766,0.01574052,0.0005498909,0.00003853623,0.0000217247,0.0001883635,0.0002927774,0.000182945,0.0006203441,0.9821952,0.00003861532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004425805,0.00003198714,0.00001784044,0.0000453928,0.00002371236,0.000005438128,0.999373,0.0000299176,0.0004284422],"genre_scores_gemma":[0.0003348128,0.00009904979,0.0001238944,0.00003965301,0.00001015623,0.0000536559,0.9985391,0.0000321201,0.0007675637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4647554,"threshold_uncertainty_score":0.9349849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602628498295525,"score_gpt":0.2125230540100499,"score_spread":0.1964967690270946,"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."}}