{"id":"W4387398728","doi":"10.2166/wst.2023.311","title":"Impact of treatment chemicals on the morphology and molecular structure of microfibers and microplastic films in wastewater","year":2023,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Jarislowsky Foundation","keywords":"Microfiber; Morphology (biology); Wastewater; Microplastics; Materials science; Sewage treatment; Chemical engineering; Chemistry; Waste management; Composite material; Environmental chemistry; Engineering; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001162154,0.0001105021,0.0001546282,0.0002789749,0.00005099902,0.000007363545,0.0001973731,0.00009009856,0.0001269549],"category_scores_gemma":[0.00003963496,0.00005555801,0.00001925334,0.0005886053,0.001865043,0.00003209953,0.0002419867,0.00007434701,0.00001456407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007795958,"about_ca_system_score_gemma":0.00001526356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001674392,"about_ca_topic_score_gemma":0.00001287334,"domain_scores_codex":[0.999155,0.00001488344,0.0001546031,0.0002764449,0.00008762799,0.0003113881],"domain_scores_gemma":[0.9996787,0.00004255737,0.00004366698,0.0001945825,0.000006077877,0.00003440048],"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":[0.00001236844,0.00001258657,0.01646503,0.000002413369,0.000003754133,0.000004590882,0.0002652523,0.0005950241,0.9823068,0.00007098838,0.00003494842,0.0002261775],"study_design_scores_gemma":[0.0001981439,0.0003866046,0.01270588,0.000009207805,0.000005777423,0.00003553792,0.00004915772,0.0006802319,0.9848062,0.001031703,0.00002809782,0.00006342012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994819,0.00001174866,0.0000198912,0.0002459432,0.0000512736,0.0001218674,0.00002734995,0.00001153005,0.00002855466],"genre_scores_gemma":[0.999749,0.00001962481,0.0001935026,0.00001217594,0.000001809277,0.000003189244,0.000002008042,0.000004328399,0.00001436531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003759152,"threshold_uncertainty_score":0.687183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005204341544855322,"score_gpt":0.2150845736046523,"score_spread":0.209880232059797,"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."}}