{"id":"W6959131832","doi":"10.1016/j.marpolbul.2016.06.037\"&gt;10.1016/j.marpolbul.2016.06.037&lt;/a&gt","title":"Sources and sinks of microplastics in Canadian Lake Ontario nearshore, tributary and beach sediments","year":2016,"lang":"en","type":"article","venue":"Smithsonian Digital Repository (Smithsonian Institution)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microplastics; Tributary; Hydrology (agriculture); Water quality; Sediment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001515313,0.0002999115,0.0003037788,0.0001897087,0.0002598528,0.0001539646,0.0001783636,0.0001960332,0.0001076137],"category_scores_gemma":[0.0001374155,0.0002457458,0.0000513933,0.0002148182,0.0009419235,0.0006733997,0.0001483078,0.0002067346,0.00004528682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000821044,"about_ca_system_score_gemma":0.0004544119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1365305,"about_ca_topic_score_gemma":0.7966101,"domain_scores_codex":[0.9980061,0.00003629965,0.0005004786,0.0005271054,0.000311875,0.0006181075],"domain_scores_gemma":[0.9989021,0.0001136495,0.0001553003,0.0002448451,0.00002377258,0.0005603454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004982309,0.0000696624,0.9904297,0.00001521547,0.00002115026,0.00007826817,0.0003495953,0.00005396979,0.0001630682,0.0002406854,0.0002445064,0.008284383],"study_design_scores_gemma":[0.0009581544,0.0001492038,0.986509,0.0001955064,0.0000256735,0.0002061435,0.00003392365,0.000097711,0.0009752859,0.0001720138,0.01035337,0.0003240159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905528,0.00010023,0.0004861555,0.0001332336,0.000340893,0.0002485805,0.0003219831,0.00002524035,0.007790901],"genre_scores_gemma":[0.9977142,0.00001857871,0.0004194463,0.00005457946,0.00004481596,0.000007818472,0.000001125754,0.0000193132,0.001720113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6600796,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003977583626389961,"score_gpt":0.1672273795740069,"score_spread":0.163249795947617,"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."}}