{"id":"W2091187831","doi":"10.1126/science.1235197","title":"Tracking Marine Pollution","year":2013,"lang":"en","type":"article","venue":"Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Environment and Climate Change Canada","funders":"","keywords":"Pollution; Tracking (education); Marine pollution; Environmental science; Computer science; Biology; Ecology","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":[0.0005166666,0.0003245806,0.0003185746,0.002068023,0.0003556361,0.001007387,0.0003129203,0.0005890597,0.001232055],"category_scores_gemma":[0.001062448,0.000194217,0.0002412878,0.001827357,0.0001253158,0.0006178434,0.0007302907,0.0004056411,0.0008564395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508574,"about_ca_system_score_gemma":0.0004646022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01981869,"about_ca_topic_score_gemma":0.03228259,"domain_scores_codex":[0.999402,0.00005742263,0.00002315683,0.000226684,0.0002362084,0.00005448952],"domain_scores_gemma":[0.9993205,0.00009944508,0.000185886,0.00005499919,0.000280141,0.00005898729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001312005,0.00008513132,0.8052443,0.0001816935,0.000142645,0.00008988066,0.0003352237,0.003781416,0.03343062,0.0006751447,0.003582963,0.1523198],"study_design_scores_gemma":[0.00001425657,0.0003787854,0.9499169,0.00009183696,0.0001499065,0.0002311396,0.0005711289,0.01429059,0.01674719,0.0006939794,0.01687423,0.00004012477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924304,0.001762437,0.02248396,0.0003330638,0.000120866,0.0001840778,0.0118918,0.0008217272,0.03809812],"genre_scores_gemma":[0.9491134,0.001926365,0.03327402,0.0002240788,0.000063502,0.000124338,0.007195486,0.00005539471,0.008023486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01981869,"threshold_uncertainty_score":0.03940666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007140362724377272,"score_gpt":0.1980189379811793,"score_spread":0.1908785752568021,"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."}}