{"id":"W4402208857","doi":"10.32920/26883640","title":"Public Perceptions and Expert Opinions About Microplastic & Nanoplastic Contamination in Water","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water contamination; Contamination; Perception; Forensic engineering; Business; Environmental science; Engineering; Psychology; Biology; Ecology","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":[0.007833455,0.0002649697,0.0002962115,0.001549726,0.003185427,0.002756477,0.0003395136,0.0009618454,0.003016033],"category_scores_gemma":[0.01605231,0.0001862401,0.0003078543,0.001337669,0.00246664,0.001448633,0.001588469,0.001147943,0.0003078006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005121372,"about_ca_system_score_gemma":0.004379697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.143302,"about_ca_topic_score_gemma":0.1925002,"domain_scores_codex":[0.9951174,0.001503934,0.0002402189,0.0002890367,0.001946942,0.0009024487],"domain_scores_gemma":[0.9810852,0.01068527,0.001961174,0.0003491762,0.004585168,0.001333977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003432006,0.0001419067,0.2045193,0.0004829069,0.00005013836,0.001858715,0.7254096,0.0004979439,0.00961268,0.001759707,0.006466614,0.04885741],"study_design_scores_gemma":[0.000009234195,0.0001328094,0.1229176,0.0002806471,0.00003761059,0.0002254229,0.8546531,0.0006058412,0.001582112,0.0004506291,0.01902215,0.00008282427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857324,0.0001678326,0.0003214389,0.001920012,0.00003817693,0.00003707518,0.0001815035,0.000007321397,0.01159437],"genre_scores_gemma":[0.9963627,0.0003435222,0.0001919479,0.000587416,0.00002629263,0.00002339218,0.00009842973,0.000007127921,0.002359126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.143302,"threshold_uncertainty_score":0.2849357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327650575152636,"score_gpt":0.2452360069911748,"score_spread":0.2219595012396485,"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."}}