{"id":"W1557960902","doi":"10.1002/9780470686607.ch9","title":"Surfactants from Waste Biomass","year":2010,"lang":"en","type":"other","venue":"","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biomass (ecology); Environmental science; Waste management; Biomass burning; Geography; Engineering; Ecology; Biology; Meteorology","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":[0.0001020824,0.0006106316,0.0003916526,0.0007769009,0.0002438814,0.0009078498,0.0003280975,0.000377879,0.01467525],"category_scores_gemma":[0.0001284126,0.0002004488,0.0004385491,0.0009652862,0.000103487,0.0006663812,0.0004316749,0.0007013461,0.009277169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046853,"about_ca_system_score_gemma":0.0003856867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004497718,"about_ca_topic_score_gemma":0.001255188,"domain_scores_codex":[0.9997924,0.00001043765,0.00001381402,0.00002284793,0.000140627,0.00001982941],"domain_scores_gemma":[0.9999633,0.000005453308,0.000005004686,0.00000321729,0.00001848182,0.000004546691],"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":[0.00009388032,0.0001033111,0.000203513,0.002046116,0.00002303075,0.0003724547,0.00009268311,0.0007094968,0.7961012,0.005564281,0.01078482,0.1839052],"study_design_scores_gemma":[0.00001043198,0.00008125878,0.0004091356,0.0001742615,0.0000141041,0.0002226793,0.00003856975,0.0002691346,0.7790948,0.0008810141,0.2187951,0.000009539101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.20621,0.1455343,0.08625405,0.003067964,0.005084035,0.0008975712,0.00825458,0.001729265,0.5429683],"genre_scores_gemma":[0.1911376,0.1588354,0.0303859,0.001496261,0.0007288809,0.0003701744,0.01357519,0.0006416308,0.6028289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01467525,"threshold_uncertainty_score":0.04909366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006437337849998352,"score_gpt":0.198151142774816,"score_spread":0.1917138049248177,"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."}}