{"id":"W2183069713","doi":"","title":"Modelling ammonia emission from swine slurry based on chemical and physical properties of the slurry","year":2010,"lang":"en","type":"article","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; University of Saskatchewan","funders":"","keywords":"Slurry; Ammonia; Chemistry; Ammoniacal nitrogen; Nitrogen; Analytical Chemistry (journal); Environmental chemistry; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007315309,0.0007218074,0.0007289005,0.0003975484,0.0003610615,0.001224107,0.0009416335,0.001718502,0.0004795036],"category_scores_gemma":[0.0008557526,0.0005448099,0.001351183,0.00048924,0.0003799657,0.0009464943,0.0004706965,0.0004846201,0.0001557778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158107,"about_ca_system_score_gemma":0.0008888668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02822659,"about_ca_topic_score_gemma":0.02117503,"domain_scores_codex":[0.9997688,0.00005579237,0.00002195811,0.00006608621,0.0000535686,0.00003388642],"domain_scores_gemma":[0.9995756,0.0002739415,0.00003957801,0.00001950127,0.00007602135,0.0000153767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001884292,0.0001357865,0.01414096,0.0001033742,0.0000755061,0.0001249283,0.00005121311,0.9449371,0.03392859,0.0002560849,0.0001442965,0.005913825],"study_design_scores_gemma":[0.00001717892,0.00008481422,0.002123516,0.000003911303,0.00001805971,0.00001280993,0.00001796389,0.9938955,0.003597018,0.00009821399,0.0001231327,0.000007879838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629403,0.0003157913,0.03384522,0.0001220936,0.00003353638,0.00008724313,0.0004620261,0.0001273512,0.002066523],"genre_scores_gemma":[0.9905794,0.0002601752,0.007598197,0.00002333696,0.000006144581,0.00007314585,0.0004297089,0.00002496345,0.001004918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02822659,"threshold_uncertainty_score":0.05612457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519355479951379,"score_gpt":0.1816098498407139,"score_spread":0.1664162950412001,"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."}}