{"id":"W2966745304","doi":"10.1130/abs/2019am-333149","title":"ANTHROPOGENIC GRAINS: MICROPLASTICS IN BENTHIC COMPARTMENTS OF THE GREAT LAKES WATERSHED","year":2019,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Microplastics; Benthic zone; Watershed; Environmental science; Oceanography; Geology; Computer science","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":[0.00007219972,0.0001178448,0.00009927165,0.0005077476,0.0004012717,0.0006308504,0.0002035927,0.0001982738,0.001309915],"category_scores_gemma":[0.0002404149,0.000149843,0.000109565,0.0009900645,0.0003465702,0.0004485336,0.0005488548,0.0001337137,0.0001337337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005794068,"about_ca_system_score_gemma":0.0004386799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05983617,"about_ca_topic_score_gemma":0.1373715,"domain_scores_codex":[0.9999505,0.000005951962,0.000005015525,0.0000139893,0.00001440716,0.0000100787],"domain_scores_gemma":[0.9998668,0.00001473228,0.00005216613,0.000006653345,0.00002858692,0.00003088814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001328032,0.00001547167,0.9905683,0.00002439713,0.00004074785,0.0001343148,0.0004183645,0.0003940762,0.004995286,0.000113549,0.000231082,0.002931649],"study_design_scores_gemma":[7.86081e-7,0.000004286366,0.9992849,8.971491e-7,0.000003658157,0.00001638517,0.0002021749,0.0001717057,0.0001794662,0.00001234966,0.000122633,7.945405e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992995,0.00004218885,0.00002954453,0.00001944215,7.182782e-7,0.000001024306,0.0002756637,0.00000286816,0.0003289821],"genre_scores_gemma":[0.9993879,0.00004507064,0.00003962832,0.000005365612,0.000002535188,0.000001948206,0.0001887805,0.000002449477,0.0003263826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9401639,"threshold_uncertainty_score":0.1189758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594857225913992,"score_gpt":0.2100288197135354,"score_spread":0.1940802474543955,"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."}}