{"id":"W2800268807","doi":"10.1097/01.asm.0001076784.63544.3c","title":"WAG Treatment and CO2 Absorbers: New Technologies for Pollution and Waste Prevention","year":2018,"lang":"en","type":"article","venue":"ASA Monitor","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution prevention; Environmental science; Waste management; Pollution; Environmental planning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268013,0.001227622,0.0007132093,0.001739506,0.0004432833,0.001812199,0.001719388,0.002299827,0.007126458],"category_scores_gemma":[0.0008226842,0.0005210395,0.0007218798,0.001133252,0.001185508,0.003544611,0.0008871386,0.002966767,0.002549279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009180327,"about_ca_system_score_gemma":0.0007690515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034077,"about_ca_topic_score_gemma":0.002355918,"domain_scores_codex":[0.9992476,0.00008707673,0.00003131096,0.00009659726,0.0004534905,0.000083937],"domain_scores_gemma":[0.9994102,0.0001916929,0.00008225424,0.00002939325,0.0002002803,0.00008633085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000272379,0.000538478,0.001323097,0.002099422,0.00005906184,0.000623314,0.0001618737,0.0007908611,0.03620064,0.0125589,0.03382715,0.9115449],"study_design_scores_gemma":[0.0001410331,0.001518406,0.002875382,0.001302351,0.0001141403,0.004150855,0.0003482971,0.004832666,0.06056903,0.01600617,0.9080052,0.0001365078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009498078,0.8857909,0.04883412,0.02488036,0.003456882,0.0001279671,0.00006297103,0.000419936,0.0269287],"genre_scores_gemma":[0.05001451,0.8194114,0.07993552,0.007538012,0.004128033,0.0001886389,0.0001433259,0.0001360335,0.03850456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007126458,"threshold_uncertainty_score":0.02384037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537130428531762,"score_gpt":0.2939231034606471,"score_spread":0.2585517991753294,"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."}}