{"id":"W4401400233","doi":"10.1007/978-3-031-64253-1_24","title":"Modeling of Microplastic Contamination Using Soft Computational Methods: Advances, Challenges, and Opportunities","year":2024,"lang":"en","type":"book-chapter","venue":"Emerging contaminants and associated treatment technologies","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Contamination; Computer science; Biochemical engineering; Environmental science; Computational biology; Engineering; Biology; Ecology","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":[0.0005259765,0.0009434921,0.001229168,0.0003648474,0.0004767126,0.002621123,0.001941414,0.001677976,0.004080817],"category_scores_gemma":[0.001348658,0.000556068,0.0009696498,0.0006629783,0.001204666,0.00186882,0.001479536,0.002331091,0.001188059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000622213,"about_ca_system_score_gemma":0.001572068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613188,"about_ca_topic_score_gemma":0.004043823,"domain_scores_codex":[0.9997589,0.00005644388,0.00001035306,0.00003014118,0.0001221009,0.00002200455],"domain_scores_gemma":[0.9992304,0.0005469811,0.00003509605,0.00005501962,0.00008908263,0.00004334594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002716884,0.00006791261,0.0005898243,0.0004162918,0.00007856093,0.00009283482,0.00007551687,0.8531175,0.002905922,0.08390537,0.00801203,0.05071102],"study_design_scores_gemma":[0.000005847317,0.00001318344,0.000109397,0.00005821081,0.000009850298,0.00002581257,0.00002735278,0.9443558,0.0008180348,0.04255201,0.01200903,0.00001536129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03852582,0.02320853,0.8355654,0.008606333,0.00156975,0.0001097461,0.001000362,0.001176805,0.09023722],"genre_scores_gemma":[0.4393009,0.05289505,0.4083113,0.002273683,0.001843499,0.0007474843,0.001658489,0.001623125,0.09134652],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004080817,"threshold_uncertainty_score":0.01365167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04986825809401887,"score_gpt":0.2780731462399587,"score_spread":0.2282048881459398,"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."}}