{"id":"W4244307312","doi":"10.1007/978-3-540-37275-2_97","title":"Analyzing Livestock Farm Odour Using a Neuro-fuzzy Approach","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Livestock; Artificial neural network; Fuzzy logic; Function (biology); Artificial intelligence; Neuro-fuzzy; Data mining; Machine learning; Fuzzy control system; Geography; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002043381,0.0004140102,0.0004598493,0.0005652412,0.0003679259,0.0006523395,0.0003903859,0.0005429175,0.0005645641],"category_scores_gemma":[0.0004082764,0.0002383512,0.0006042698,0.0004546057,0.0001663453,0.0004016366,0.0002122576,0.0002423479,0.0001128181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004043893,"about_ca_system_score_gemma":0.0003544686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01263852,"about_ca_topic_score_gemma":0.01387204,"domain_scores_codex":[0.9999202,0.000009099874,0.000005036353,0.00001903843,0.00003014722,0.00001645143],"domain_scores_gemma":[0.9998692,0.00006347329,0.00001415351,0.000006245011,0.00004065782,0.000006217912],"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":[0.0003335431,0.0001807122,0.008795522,0.0001353167,0.000187782,0.0002657828,0.0001019335,0.754864,0.06162336,0.001055068,0.000375504,0.1720814],"study_design_scores_gemma":[0.000002479492,0.00002422802,0.002033424,0.000003108393,0.00001846214,0.00001840258,0.00002917038,0.9949122,0.002471273,0.0003864201,0.00009424616,0.000006443559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621615,0.0007181844,0.5315068,0.00008868947,0.00004613034,0.00006827747,0.0001424203,0.0002758687,0.004992131],"genre_scores_gemma":[0.9490705,0.0001924267,0.04930855,0.00001445502,0.00001362717,0.00002438569,0.00007710208,0.00001183798,0.00128721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01263852,"threshold_uncertainty_score":0.02512991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978471994977472,"score_gpt":0.2396707049915931,"score_spread":0.2098859850418184,"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."}}