{"id":"W2528819979","doi":"10.1039/c6ay02419j","title":"Quantifying ingested debris in marine megafauna: a review and recommendations for standardization","year":2016,"lang":"en","type":"review","venue":"Analytical Methods","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":487,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Indigenous and Northern Affairs Canada","keywords":"Megafauna; Marine debris; Standardization; Debris; Microplastics; Environmental science; Pollution; Marine pollution; Environmental planning; Environmental resource management; Geography; Oceanography; Computer science; Ecology; Geology; Archaeology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004321213,0.001380889,0.00278839,0.007375301,0.0004179773,0.001912674,0.0019141,0.001753712,0.002991072],"category_scores_gemma":[0.00496938,0.0006615477,0.002120623,0.004869198,0.001045741,0.002640347,0.001149651,0.001610656,0.001279842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020346,"about_ca_system_score_gemma":0.004931638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486834,"about_ca_topic_score_gemma":0.006918726,"domain_scores_codex":[0.9985001,0.0002496379,0.0004582372,0.000203578,0.0005304053,0.00005804392],"domain_scores_gemma":[0.9959551,0.001952402,0.0007200864,0.0001177551,0.001171042,0.00008366091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005988669,0.00005718811,0.0005972884,0.1103195,0.0003650392,0.000153226,0.0001424532,0.0003502574,0.001964235,0.003055266,0.01547949,0.8674561],"study_design_scores_gemma":[0.00002112048,0.0001229331,0.00299374,0.04697085,0.00121192,0.0008973758,0.0003086528,0.0001306577,0.001783925,0.002734336,0.9427511,0.00007347923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001245965,0.9983445,0.0002617078,0.0004562607,0.000211086,0.00002040624,0.00009024331,0.00000678889,0.0004843694],"genre_scores_gemma":[0.0005584926,0.9982026,0.000695796,0.0001754813,0.00007044603,0.00001878003,0.00006418308,0.000002080805,0.0002121544],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007375301,"threshold_uncertainty_score":0.02285308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316474162316322,"score_gpt":0.459732475111943,"score_spread":0.3280850588803108,"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."}}