{"id":"W6894088967","doi":"10.5281/zenodo.7217327","title":"SEASONAL VARIATION, DISTRIBUTION AND CHARACTERISTICS OF MICROPLASTIC IN SEWAGE SLUDGE","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Sewage sludge; Sewage; Pollution; Plastic pollution; Pollutant; Wastewater; Sewage treatment","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":[0.0002545801,0.0001873446,0.0003465715,0.0009742416,0.0002062883,0.0004628382,0.0001716511,0.0003482654,0.0009510824],"category_scores_gemma":[0.0005262493,0.000138252,0.0003245308,0.001401023,0.0001548694,0.0002914695,0.0002333409,0.000326103,0.0004826371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003126748,"about_ca_system_score_gemma":0.0001943489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004148363,"about_ca_topic_score_gemma":0.006186678,"domain_scores_codex":[0.9997293,0.00002813,0.00003118272,0.000114749,0.00007170045,0.00002479175],"domain_scores_gemma":[0.9993448,0.00009407457,0.0002031836,0.00002206039,0.0002816998,0.00005410678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009561589,0.0001695745,0.8678257,0.0005939148,0.0002099822,0.0005850021,0.00172166,0.0006894159,0.08292415,0.0001596568,0.002292434,0.04187236],"study_design_scores_gemma":[0.000002534465,0.0001282845,0.994208,0.00001408052,0.00003148464,0.000139937,0.0004639182,0.0003389644,0.002370613,0.00004514497,0.002239896,0.00001725027],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916928,0.002229489,0.0006316605,0.00007362357,0.00004105145,0.00003108523,0.003248715,0.00002986847,0.002021655],"genre_scores_gemma":[0.9942471,0.0009328339,0.0005120986,0.00005730711,0.00004708976,0.0000378951,0.002034184,0.00001692596,0.002114753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004148363,"threshold_uncertainty_score":0.008248448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044512438154931,"score_gpt":0.1893099322661613,"score_spread":0.178864807884612,"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."}}