{"id":"W2974148870","doi":"10.1126/science.aax3539","title":"Cleaning up plastic pollution in Africa","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Plastic pollution; Pollution; Key (lock); Environmental science; Environmental planning; Business; Environmental protection; Environmental resource management; Natural resource economics; Computer science; Ecology; Computer security; Economics; Biology","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":[0.0006118999,0.0004913384,0.0001569388,0.0006217782,0.001192452,0.001147884,0.0003068978,0.0008276109,0.009381659],"category_scores_gemma":[0.0009943941,0.0001489096,0.000153498,0.000777695,0.001144707,0.001436741,0.001211236,0.0007947065,0.0005949586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697328,"about_ca_system_score_gemma":0.003915545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128054,"about_ca_topic_score_gemma":0.02080276,"domain_scores_codex":[0.9995807,0.00009768117,0.00001326387,0.00002979412,0.0000687193,0.0002098527],"domain_scores_gemma":[0.9996762,0.00006050928,0.0001031343,0.000009150418,0.0000657894,0.00008527522],"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":[0.0004759549,0.0004531379,0.03864561,0.004885876,0.0000938544,0.01349985,0.01584969,0.00137088,0.09472087,0.09664985,0.020114,0.7132404],"study_design_scores_gemma":[0.00003949722,0.0005308628,0.07622841,0.003288433,0.00008928671,0.005944023,0.03339279,0.0005486853,0.02187888,0.01044777,0.8475478,0.00006355538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7022894,0.05495331,0.003952933,0.06126161,0.0009017487,0.0002878414,0.0003061395,0.0001084269,0.1759386],"genre_scores_gemma":[0.9071635,0.04707257,0.003621,0.004414144,0.0001733183,0.00007186052,0.00007893758,0.00003282847,0.03737171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128054,"threshold_uncertainty_score":0.03138477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053091435570856,"score_gpt":0.2252361888905638,"score_spread":0.2147052745348553,"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."}}