{"id":"W3166627620","doi":"","title":"Development and Application of Sampling and Extraction Methods for Microplastics in Drinking Water","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microplastics; Sampling (signal processing); Environmental science; Extraction (chemistry); Engineering; Environmental chemistry; Chemistry; Chromatography; Telecommunications","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":[0.002667245,0.000593786,0.0003636901,0.00155962,0.0007526869,0.0009288741,0.000695153,0.0008383184,0.001102375],"category_scores_gemma":[0.001963142,0.0003776435,0.0004161831,0.0008705922,0.0006547038,0.0007652583,0.0007826385,0.001062835,0.0006368161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933568,"about_ca_system_score_gemma":0.001862874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761086,"about_ca_topic_score_gemma":0.004664671,"domain_scores_codex":[0.9978447,0.0005690344,0.0001693634,0.000384696,0.0009353428,0.00009686966],"domain_scores_gemma":[0.9990519,0.0002489046,0.0001614954,0.00009920543,0.0003974656,0.00004110369],"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":[0.0000536148,0.0001787346,0.005744828,0.001085238,0.0000368251,0.0001203626,0.0006143718,0.0005004541,0.8244339,0.001150704,0.0003976282,0.1656833],"study_design_scores_gemma":[0.00001231335,0.0006496537,0.02361122,0.0003260834,0.00007789308,0.0005880999,0.0006249807,0.00241876,0.9219272,0.001009084,0.04868942,0.0000652471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.306743,0.01866544,0.6542789,0.0008902112,0.0002502979,0.003417086,0.001267855,0.0004970315,0.01399034],"genre_scores_gemma":[0.2585719,0.01510587,0.7142531,0.00041248,0.00008295132,0.002033031,0.0008103119,0.0000988939,0.008631502],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002667245,"threshold_uncertainty_score":0.01410592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838872150394801,"score_gpt":0.4017678706396844,"score_spread":0.3433791491357364,"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."}}