{"id":"W4295775467","doi":"10.1016/j.chemosphere.2022.136449","title":"Quantitative assessment of visual microscopy as a tool for microplastic research: Recommendations for improving methods and reporting","year":2022,"lang":"en","type":"article","venue":"Chemosphere","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; University of Toronto; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Environmental science; Nanotechnology; Biochemical engineering; Materials science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002915901,0.0001008447,0.0001938258,0.00001888319,0.0006157955,0.00003238291,0.0001062472,0.0000361862,0.0008501984],"category_scores_gemma":[0.002157958,0.0001037347,0.00005742128,0.0001943544,0.0001344471,0.0000680604,0.0002984188,0.0001698213,0.00000208842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258656,"about_ca_system_score_gemma":0.00009504925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581695,"about_ca_topic_score_gemma":0.00002037108,"domain_scores_codex":[0.99853,0.000130566,0.0005421868,0.0003437526,0.000169796,0.0002836419],"domain_scores_gemma":[0.9976912,0.001565584,0.0005233134,0.0001216324,0.00004580801,0.00005244439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001105517,0.0001143069,0.001177426,0.0001017315,0.00001810942,5.920172e-7,0.0003818774,0.0004085079,0.9715232,0.0008389494,0.005851253,0.01947347],"study_design_scores_gemma":[0.003106471,0.005225244,0.005420275,0.00009925202,0.0001864027,0.00007653517,0.009121737,0.4548543,0.3760888,0.01073568,0.1342214,0.0008638721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6151349,0.00004844804,0.3830582,0.000213299,0.0003422313,0.000715861,0.0001503177,0.00001152008,0.0003252295],"genre_scores_gemma":[0.4405238,0.000003836396,0.5587435,0.00003572459,0.00002273677,0.0002308388,0.00003751989,0.0000154228,0.0003865628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5954344,"threshold_uncertainty_score":0.9309077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026291813872007,"score_gpt":0.4705016787538405,"score_spread":0.3678724973666399,"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."}}