{"id":"W3110837237","doi":"10.1021/acs.est.0c05746","title":"Think Global, Act Local: Local Knowledge Is Critical to Inform Positive Change When It Comes to Microplastics","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Gordon and Betty Moore Foundation","keywords":"Library science; Citation; Ocean gyre; Ecology; Environmental ethics; History; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002094733,0.000356284,0.0002973029,0.0001721577,0.0005766661,0.00007409204,0.001137732,0.0002385778,0.002655468],"category_scores_gemma":[0.0002329279,0.000340063,0.00006131509,0.001722436,0.003727071,0.0003804638,0.00227167,0.0003190093,0.01275617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146262,"about_ca_system_score_gemma":0.00004774814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009921376,"about_ca_topic_score_gemma":0.00009839446,"domain_scores_codex":[0.9970055,0.00002213375,0.0003586153,0.0009485468,0.0006304078,0.0010348],"domain_scores_gemma":[0.9985967,0.00008096993,0.00006318185,0.0003764492,0.000009393283,0.0008733351],"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":[0.0004076663,0.001292999,0.03680288,0.00004777415,0.00006055772,0.0002325568,0.02723923,0.00260356,0.3873011,0.01068791,0.06830211,0.4650217],"study_design_scores_gemma":[0.001582509,0.006353062,0.1079625,0.0001793183,0.0001518769,0.0003863568,0.01115466,0.0340426,0.1933957,0.002834562,0.6388275,0.003129418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6029798,0.0001394652,0.307537,0.07742649,0.0007187159,0.001432439,0.0008649027,0.0003506907,0.008550476],"genre_scores_gemma":[0.9838206,0.00001527905,0.004695408,0.01128038,0.00005404665,0.00002555023,0.000006441603,0.00001832645,0.00008398306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705254,"threshold_uncertainty_score":0.9999051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454423399728778,"score_gpt":0.2534116318030468,"score_spread":0.2388673978057591,"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."}}