{"id":"W3023358281","doi":"10.17118/11143/18890","title":"Réduction des GES d’étables à vaches au moyen de biofiltres passifs","year":2019,"lang":"fr","type":"article","venue":"˜Le œclimatoscope","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000315813,0.0004532231,0.000500983,0.0003351108,0.000628799,0.001019711,0.0005948367,0.0004653607,0.003128048],"category_scores_gemma":[0.0004044381,0.0001588436,0.0006931752,0.0004723533,0.0002441881,0.0003926975,0.0004981917,0.000548214,0.0006555923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168206,"about_ca_system_score_gemma":0.001273766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100063,"about_ca_topic_score_gemma":0.2000517,"domain_scores_codex":[0.9994515,0.00003370102,0.00002651671,0.0001104267,0.000246754,0.0001310393],"domain_scores_gemma":[0.9995824,0.00004642813,0.00006176727,0.00002521475,0.0002285207,0.00005578399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007121312,0.0002901494,0.01949667,0.0007671835,0.0001341056,0.0001788626,0.0003851061,0.002379384,0.902347,0.0002106512,0.00117613,0.07192257],"study_design_scores_gemma":[0.00009422637,0.004270526,0.3294806,0.0001880478,0.0003701593,0.0002270893,0.001433376,0.006799414,0.605113,0.0001674739,0.05178838,0.00006780247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912227,0.001611127,0.002142159,0.0001438041,0.00003951216,0.00008348587,0.0006195064,0.0001084399,0.004029259],"genre_scores_gemma":[0.9733503,0.002035507,0.006170698,0.000196115,0.00001163044,0.0001234704,0.001247332,0.00003780163,0.01682705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100063,"threshold_uncertainty_score":0.1989612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145391581238613,"score_gpt":0.2347137355469442,"score_spread":0.2201745774230829,"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."}}