{"id":"W4212798811","doi":"10.1088/1748-9326/ac5714","title":"Categorization of plastic debris on sixty-six beaches of the Laurentian Great Lakes, North America","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Debris; Microplastics; Environmental science; Bay; Sampling (signal processing); Hydrology (agriculture); Physical geography; Geography; Oceanography; Archaeology; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002197192,0.0003845021,0.000169744,0.001640754,0.001065057,0.0006489893,0.00023352,0.0002027438,0.001352167],"category_scores_gemma":[0.000357116,0.0002148853,0.0001812929,0.001675165,0.0004384144,0.0002525556,0.0007439786,0.0001168511,0.000210245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009824281,"about_ca_system_score_gemma":0.0008065981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2071263,"about_ca_topic_score_gemma":0.5860405,"domain_scores_codex":[0.9998127,0.00001806579,0.00001679238,0.00004338043,0.00007139602,0.00003776267],"domain_scores_gemma":[0.9996378,0.00004250709,0.0001173601,0.00001244314,0.0001214454,0.00006835842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006915745,0.00002080539,0.9714854,0.00007558354,0.00004135404,0.0005232806,0.002754993,0.0001141878,0.009770609,0.00002696431,0.0004893607,0.01462823],"study_design_scores_gemma":[0.000001129675,0.00001632271,0.997908,0.00001001101,0.000004738515,0.00005944102,0.001130822,0.00004929874,0.0002091552,0.000004299172,0.0006040974,0.000002623224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985716,0.0001331923,0.00005503749,0.00002417615,0.00000191328,0.00001840746,0.0004041009,0.000007569088,0.0007839876],"genre_scores_gemma":[0.9959021,0.000282122,0.0008909746,0.00004918365,0.00000541169,0.00003836601,0.0008545268,0.000004635711,0.0019725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7928737,"threshold_uncertainty_score":0.4118414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451970563345929,"score_gpt":0.2219940230580486,"score_spread":0.2074743174245893,"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."}}