{"id":"W4400225262","doi":"10.1088/1361-6528/ad5dc5","title":"3D imaging photocatalytically degraded micro- and nanoplastics","year":2024,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"","keywords":"Microscale chemistry; Degradation (telecommunications); Materials science; Polystyrene; Microplastics; Nanoscopic scale; Photocatalysis; Photodegradation; Polyethylene; Polymer; Nanotechnology; Chemical engineering; Composite material; Environmental chemistry; Computer science; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009576872,0.0001322342,0.0001114889,0.00008589587,0.0000839263,0.00004802753,0.0001321994,0.0001524214,0.0005100567],"category_scores_gemma":[0.00009933732,0.0001177806,0.00002260212,0.0002399584,0.0003971308,0.00006417499,0.0002089482,0.0002261537,0.0008922872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007506727,"about_ca_system_score_gemma":0.0000162181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000393222,"about_ca_topic_score_gemma":0.00002847851,"domain_scores_codex":[0.9990847,0.00001032428,0.0001529887,0.0003532849,0.0001010286,0.0002977064],"domain_scores_gemma":[0.9996677,0.00009627284,0.00002014263,0.0001532221,0.000003517328,0.00005914123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000945166,0.00002107413,0.001705543,0.00002082619,0.0000110018,0.0001061097,0.00005545073,0.00002720189,0.9214584,0.003297488,0.002730804,0.07055662],"study_design_scores_gemma":[0.000710736,0.000215484,0.003098638,0.0001536341,0.0001411539,0.001679267,0.00005701664,0.1497488,0.3342467,0.01196779,0.4970932,0.000887514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213204,0.0009614271,0.07208969,0.001906659,0.0008269698,0.0002297222,0.00004270223,0.0005050384,0.002117366],"genre_scores_gemma":[0.9930998,0.00007722559,0.006276378,0.0001233625,0.000022307,0.000007421748,0.000004811586,0.000016641,0.0003720727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5872117,"threshold_uncertainty_score":0.9998856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004585585740464016,"score_gpt":0.2000469017760011,"score_spread":0.1954613160355371,"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."}}