{"id":"W7019231882","doi":"","title":"Fe3O4Nanoparticles and Carboxymethyl Cellulose: A Green Option for the Removal of Atmospheric Benzene, Toluene, Ethylbenzene, ando-Xylene (BTEX)","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Concordia University","keywords":"Atmosphere (unit); Atmospheric pressure; Air pollution; Carboxymethyl cellulose","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001007186,0.0003968308,0.0004504703,0.00004468013,0.0003086879,0.00003658902,0.0002929665,0.0002460011,0.0000758989],"category_scores_gemma":[0.0002188742,0.0003428996,0.0001382445,0.0002880422,0.0001033856,0.0007137688,0.0001437218,0.0002146079,0.00003310353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553208,"about_ca_system_score_gemma":0.00000745573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201746,"about_ca_topic_score_gemma":0.00006123401,"domain_scores_codex":[0.9977368,0.0001510973,0.0006874083,0.000351749,0.0004175493,0.0006554087],"domain_scores_gemma":[0.998505,0.0004902652,0.0002123426,0.0004667648,0.00005984867,0.000265797],"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":[0.00007705975,0.00007200347,0.0004304622,0.000193049,0.0001257342,0.000003335919,0.00002094842,0.001395028,0.9301056,0.008448562,0.000002881515,0.05912536],"study_design_scores_gemma":[0.001289673,0.0001147208,0.01110731,0.00005457624,0.0001842003,0.00004822949,0.00007491527,0.002633198,0.9621959,0.0009883586,0.02082998,0.0004788958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928914,0.004055121,0.00003108483,0.00002458525,0.0006644597,0.0007940329,0.0002790729,0.0001844676,0.001075717],"genre_scores_gemma":[0.9913077,0.0007432945,0.007213204,0.0000778789,0.0001011056,0.0001650075,0.00002200682,0.000129037,0.0002407748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05864647,"threshold_uncertainty_score":0.9999023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351334324854509,"score_gpt":0.2069682028662109,"score_spread":0.1934548596176658,"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."}}