{"id":"W2262159103","doi":"10.1007/b138434","title":"Biotechnology for Odor and Air Pollution Control","year":2005,"lang":"en","type":"book","venue":"","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":309,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Biorem Technologies (Canada)","funders":"","keywords":"Odor; Environmental science; Pollution; Air pollution; Control (management); Environmental engineering; Biology; Computer science; Ecology; Artificial intelligence","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":[0.0002331158,0.001326101,0.0007469989,0.001630512,0.0005824013,0.001733696,0.0006987076,0.001312843,0.02262672],"category_scores_gemma":[0.0002793364,0.0005312392,0.0004668868,0.001504239,0.0008275554,0.00258174,0.0006964085,0.002388614,0.01643058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299944,"about_ca_system_score_gemma":0.0009647741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479397,"about_ca_topic_score_gemma":0.004074595,"domain_scores_codex":[0.9998,0.00001280818,0.000005872217,0.00002591685,0.0001421829,0.00001329846],"domain_scores_gemma":[0.9999232,0.00002595071,0.000005739674,0.000009558513,0.00002800049,0.000007521397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002988084,0.0001367369,0.00005716539,0.0006437758,0.0000139436,0.0001456893,0.0001445035,0.001230941,0.01915153,0.1770114,0.2986143,0.50282],"study_design_scores_gemma":[0.000003434481,0.00001611891,0.00005864122,0.0001107572,0.00000559746,0.000144136,0.00001468033,0.0003223825,0.002808795,0.0164167,0.9800929,0.000005842683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00125259,0.1373275,0.04277872,0.00386326,0.005553731,0.0001161263,0.0002767094,0.0005257961,0.8083056],"genre_scores_gemma":[0.004316547,0.06026949,0.0161683,0.001442912,0.0005985877,0.0001054578,0.0002584821,0.0002039554,0.9166363],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02262672,"threshold_uncertainty_score":0.07569396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882856955762752,"score_gpt":0.2203433130787027,"score_spread":0.21146045612294,"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."}}