{"id":"W3007824807","doi":"10.2166/wst.2020.087","title":"Inappropriate disposal of ‘flushable’ consumer products – reasons for concern","year":2020,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Legislation; Product (mathematics); Business; Labelling; Risk analysis (engineering); Marketing; Chemistry; Law; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01098313,0.0003088117,0.0002771893,0.0007915421,0.001181793,0.002246109,0.0008624878,0.002408348,0.003297203],"category_scores_gemma":[0.0284633,0.0003154399,0.0004326158,0.001188907,0.001966745,0.002046448,0.0009760974,0.001072629,0.001035254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112749,"about_ca_system_score_gemma":0.0009038411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003499564,"about_ca_topic_score_gemma":0.004617383,"domain_scores_codex":[0.9863924,0.005121203,0.00129832,0.0007036226,0.005976063,0.0005084106],"domain_scores_gemma":[0.9700562,0.01306832,0.006576451,0.001775075,0.008216471,0.0003074684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008841907,0.0003907359,0.4792168,0.002707771,0.00009108352,0.01434911,0.0767367,0.0009138653,0.02916763,0.003964588,0.02371673,0.3678608],"study_design_scores_gemma":[0.0000450177,0.002800575,0.3801841,0.002900561,0.0002441994,0.05127547,0.1479992,0.002549547,0.06647041,0.004965529,0.3402223,0.0003430943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453804,0.006711679,0.007035332,0.02001018,0.0002538694,0.0002463448,0.000222276,0.0002105725,0.01992933],"genre_scores_gemma":[0.9797534,0.003083298,0.004712483,0.007090888,0.00009212553,0.00004335613,0.0001360722,0.00007972306,0.005008687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098313,"threshold_uncertainty_score":0.05808502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293352003338882,"score_gpt":0.2316088464394938,"score_spread":0.208675326406105,"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."}}