{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00007774601,0.0002837874,0.000473945,0.0001955848,0.00005152887,0.000009593765,0.0002107516,0.001529836,0.0001475027],"category_scores_gemma":[0.0002419872,0.0002363883,0.0001285771,0.00003379105,0.0001008141,0.00003866609,0.00006982586,0.0003944054,0.00003076054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242759,"about_ca_system_score_gemma":0.00004493788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002766894,"about_ca_topic_score_gemma":0.000003593065,"domain_scores_codex":[0.9989785,0.00000273499,0.0002641662,0.0003537187,0.0000900942,0.0003107926],"domain_scores_gemma":[0.9993945,0.0001341359,0.0000793064,0.0003022206,0.00003261175,0.00005721047],"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":[0.0001239477,0.00003011173,0.000001205168,0.000267482,0.0002567085,0.000004590814,0.000008888866,0.0002844668,0.05021203,0.2211493,0.3377579,0.3899035],"study_design_scores_gemma":[0.00143882,0.0000739704,0.000002137917,0.00006079158,0.00008164638,0.000009833048,0.0000107662,0.007770822,0.01336912,0.006388007,0.970458,0.0003360818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009747686,0.009164951,0.3692066,0.05322146,0.000658715,0.002328155,0.0005662105,0.009106249,0.5556502],"genre_scores_gemma":[0.03080176,0.0002751515,0.003131693,0.0008171842,0.0004250825,0.00009229201,0.00003987542,0.00007266915,0.9643443],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6327001,"threshold_uncertainty_score":0.9997664,"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."}}