{"id":"W3044029393","doi":"10.1126/science.aba9475","title":"Evaluating scenarios toward zero plastic pollution","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1692,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Victoria; Kensington Health","funders":"Engineering and Physical Sciences Research Council; Pew Charitable Trusts","keywords":"Plastic pollution; Harm; Plastic waste; Pollution; Environmental science; Natural resource economics; Waste management; Economics; Engineering; Political science; Biology; Ecology; Law","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":[0.003553493,0.001254868,0.000747641,0.0009723828,0.0007484523,0.002283632,0.001437929,0.002820897,0.00616779],"category_scores_gemma":[0.01465037,0.0005945868,0.001455682,0.0009179002,0.001437197,0.002672475,0.001580537,0.00183361,0.0002638081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004179981,"about_ca_system_score_gemma":0.00258196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507777,"about_ca_topic_score_gemma":0.01389915,"domain_scores_codex":[0.9980719,0.001265553,0.00004159951,0.0002084441,0.0001593635,0.0002530713],"domain_scores_gemma":[0.9915709,0.006634604,0.0004907342,0.0002375537,0.000588869,0.0004771765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001618652,0.000107865,0.003100418,0.00006367948,0.0000594368,0.0001412563,0.00002821844,0.9872292,0.0002400574,0.006819147,0.0004506053,0.001598296],"study_design_scores_gemma":[0.0003225781,0.0009572875,0.002888198,0.00007799492,0.0001760516,0.00006892558,0.0005259496,0.9672685,0.00101433,0.02341315,0.00322677,0.00006022596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484239,0.0005698965,0.01588883,0.002818405,0.0001584642,0.0003342488,0.002751584,0.0001565934,0.02889813],"genre_scores_gemma":[0.9926771,0.0002081688,0.0047704,0.0002578833,0.00001381303,0.0001377696,0.000584686,0.0000180402,0.001332162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507777,"threshold_uncertainty_score":0.04986358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471657837859175,"score_gpt":0.2820010218414557,"score_spread":0.2348352380555382,"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."}}