{"id":"W7133288597","doi":"","title":"The 2008 Canadian atmospheric assessment of agricultural ammonia","year":2010,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Air pollution; Atmospheric pollution; Ammonia; Atmospheric dispersion modeling; Atmospheric emissions","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":[0.001220731,0.000792128,0.0004282671,0.002050051,0.001981595,0.001593612,0.001436221,0.0008730952,0.004050789],"category_scores_gemma":[0.002123099,0.000301773,0.0006274523,0.003050235,0.0003875563,0.0006531102,0.0008482484,0.0009618753,0.0008852434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04663115,"about_ca_system_score_gemma":0.1302128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969797,"about_ca_topic_score_gemma":0.9982054,"domain_scores_codex":[0.9982885,0.00006032268,0.00003200971,0.00007781984,0.001336027,0.0002052661],"domain_scores_gemma":[0.9969655,0.00003145641,0.00004439488,0.0000412476,0.002790183,0.0001271778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000422083,0.00008671331,0.02766425,0.0005213841,0.0001735303,0.0001310988,0.0002579129,0.004587189,0.001580157,0.006062153,0.9006069,0.05790658],"study_design_scores_gemma":[0.0001191782,0.00006413022,0.196538,0.0003129968,0.0002029178,0.00003984398,0.0007947178,0.0035198,0.00374114,0.001401913,0.7931862,0.00007910044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08562191,0.01032812,0.003578837,0.02439597,0.002835368,0.0006527624,0.5065006,0.0009651427,0.3651214],"genre_scores_gemma":[0.4379449,0.01528534,0.01626623,0.005843014,0.000331916,0.0005222932,0.1600547,0.0003724513,0.363379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04663115,"threshold_uncertainty_score":0.3383343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005358327034228635,"score_gpt":0.2276822207155905,"score_spread":0.2223238936813618,"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."}}