{"id":"W2793099734","doi":"10.1080/09644016.2018.1449090","title":"The power of environmental norms: marine plastic pollution and the politics of microbeads","year":2018,"lang":"en","type":"article","venue":"Environmental Politics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Plastic pollution; Politics; Pollution; Power (physics); Marine pollution; Environmental politics; Environmental pollution; Environmental science; Political science; Business; Natural resource economics; Environmental protection; Economics; Law; Ecology; 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":[0.00599411,0.0002078942,0.0002468842,0.0009468555,0.005601446,0.009771549,0.0006290513,0.003733547,0.006075345],"category_scores_gemma":[0.007238025,0.0002213858,0.0002677464,0.0009234987,0.03397554,0.008467098,0.005219514,0.004800973,0.0005332164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005373231,"about_ca_system_score_gemma":0.00388726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006353845,"about_ca_topic_score_gemma":0.00991705,"domain_scores_codex":[0.9954785,0.002443213,0.00007463727,0.0004553259,0.001011733,0.0005365562],"domain_scores_gemma":[0.9916843,0.005135713,0.0009826374,0.0006015852,0.0009820885,0.0006137138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001916549,0.00001690829,0.001891881,0.00004453509,0.00000846513,0.000151934,0.01114077,0.0002222206,0.0005118233,0.9689493,0.005755495,0.01128758],"study_design_scores_gemma":[0.0000157098,0.00003662439,0.006009909,0.0002916641,0.0000130208,0.000162902,0.03330263,0.0006337485,0.001441055,0.6628129,0.2952306,0.00004915864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1541227,0.01022852,0.01288925,0.2528556,0.001103265,0.00002479343,0.0000733534,0.00005855224,0.568644],"genre_scores_gemma":[0.9743225,0.002357952,0.001013407,0.008832073,0.0002917429,0.00001662287,0.00001399613,0.00004137952,0.01311019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009771549,"threshold_uncertainty_score":0.03898567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002870821636537947,"score_gpt":0.170337630212859,"score_spread":0.167466808576321,"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."}}