{"id":"W3184407300","doi":"10.5772/intechopen.98371","title":"Microplastics and Environmental Health: Assessing Environmental Hazards in Haiti","year":2021,"lang":"en","type":"book-chapter","venue":"Environmental Health","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Microplastics; Plastic pollution; Environmental science; Marine debris; Sewage; Pollution; Wastewater; Environmental protection; Environmental hazard; Litter; Sanitation; Environmental engineering; Waste management; Ecology; Geography; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006860266,0.0006291443,0.0002592776,0.002279722,0.0007363355,0.0008967005,0.0005555855,0.0008386296,0.0006696069],"category_scores_gemma":[0.0005320401,0.0003672155,0.0005789804,0.001822322,0.0005865934,0.0005485684,0.001371488,0.000673351,0.0001487831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249938,"about_ca_system_score_gemma":0.00325979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2086802,"about_ca_topic_score_gemma":0.236995,"domain_scores_codex":[0.9997321,0.00005852438,0.00002408322,0.00003125277,0.00009326901,0.00006068702],"domain_scores_gemma":[0.9996146,0.00006145216,0.0001207253,0.00000997321,0.0001197135,0.00007350323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009843009,0.0004704894,0.9679436,0.0004687335,0.0001598736,0.0009243296,0.00197786,0.002375142,0.002458875,0.0005626337,0.0005760256,0.02198401],"study_design_scores_gemma":[0.000005351378,0.0003535595,0.9844359,0.0001417339,0.0001272343,0.0006004337,0.006028508,0.004764155,0.0009114824,0.0003066009,0.002297897,0.00002711415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906183,0.001385096,0.001195587,0.0006258129,0.000009826039,0.000278465,0.00213073,0.00002050313,0.003735813],"genre_scores_gemma":[0.9934362,0.001487336,0.002804252,0.0001517755,0.00001097664,0.0001578331,0.0008593443,0.000003642015,0.001088525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2086802,"threshold_uncertainty_score":0.414931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181351195070365,"score_gpt":0.2265859146805336,"score_spread":0.2147724027298299,"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."}}