{"id":"W4382282712","doi":"10.1016/j.scitotenv.2023.165150","title":"Human health risk model for microplastic exposure in the Arctic region","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Microplastics; Risk assessment; Environmental science; Arctic; Human health; Risk analysis (engineering); Environmental health; Food chain; Health risk assessment; Environmental resource management; Ecology; Computer science; Biology; Business; Medicine","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":[0.001078876,0.0009519033,0.0009104997,0.001032646,0.0005238371,0.001151342,0.001761566,0.001399549,0.006602289],"category_scores_gemma":[0.001146337,0.0003732117,0.0013274,0.0006589143,0.0005205659,0.0004828371,0.0007853201,0.0008291352,0.0007341519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580028,"about_ca_system_score_gemma":0.002292979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08570999,"about_ca_topic_score_gemma":0.04679443,"domain_scores_codex":[0.9994532,0.0002137449,0.00001307132,0.0001031675,0.00007222583,0.000144583],"domain_scores_gemma":[0.9995344,0.0002074384,0.00005577333,0.00002238487,0.0001336509,0.00004636949],"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":[0.0002596655,0.0001155765,0.009709969,0.00009509058,0.0003569386,0.0005198346,0.0001886627,0.9515963,0.00191135,0.02480333,0.00219809,0.008245135],"study_design_scores_gemma":[0.00009742913,0.0002880298,0.006410357,0.00006209099,0.0005319288,0.0004305389,0.0003549746,0.9665529,0.0007184646,0.01910728,0.005395092,0.00005097787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5788961,0.004029131,0.3216155,0.005105023,0.0003863608,0.0004229249,0.01081305,0.0007477877,0.07798409],"genre_scores_gemma":[0.9509678,0.00102497,0.009211625,0.0004352633,0.00008502344,0.0002399462,0.001406411,0.00004781911,0.03658121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08570999,"threshold_uncertainty_score":0.1704222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967645079701751,"score_gpt":0.2289119090843185,"score_spread":0.209235458287301,"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."}}