{"id":"W6957880564","doi":"10.60692/4795p-4f347","title":"Abundance and characteristics of microplastics in commercial marine fish from Malaysia","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microplastics; Marine debris; Debris; Plastic pollution; Abundance (ecology); Fish <Actinopterygii>; Marine fish; Gill","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":[0.0001247939,0.0002557247,0.0001432286,0.001275589,0.0002928051,0.0003028002,0.000153675,0.0002411449,0.0007849326],"category_scores_gemma":[0.000207965,0.0002239581,0.0001684808,0.0007835325,0.0002945373,0.0001980305,0.0002813412,0.0001376659,0.0002658488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589367,"about_ca_system_score_gemma":0.0001934297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009551889,"about_ca_topic_score_gemma":0.02396801,"domain_scores_codex":[0.9999175,0.000006212972,0.00001374437,0.00002642389,0.00001993752,0.00001621574],"domain_scores_gemma":[0.9998152,0.00002184924,0.00008054713,0.000007950111,0.00003942948,0.00003508971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009224044,0.00002818317,0.9746567,0.00004426681,0.00001963193,0.0002897273,0.0008833376,0.00005036296,0.01966716,0.00001690831,0.00003510809,0.004216312],"study_design_scores_gemma":[7.809423e-7,0.00008718931,0.9978285,0.000004939342,0.000006713553,0.0003098139,0.000685677,0.00005619533,0.0008734931,0.000006447993,0.000136624,0.000003569076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996487,0.00003468859,0.00002330795,0.000003138879,4.072723e-7,0.000001982447,0.0001120986,0.000001008051,0.000174759],"genre_scores_gemma":[0.9986631,0.0001044057,0.000220934,0.000009503366,0.000001217856,0.000006160342,0.0002300266,0.000001322589,0.0007633104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009551889,"threshold_uncertainty_score":0.01899254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007909461517066193,"score_gpt":0.1607835969218332,"score_spread":0.152874135404767,"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."}}