{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006437825,0.0007334806,0.0007247108,0.001649459,0.004617501,0.01191841,0.001264811,0.00547466,0.1942305],"category_scores_gemma":[0.02812198,0.0005588972,0.0006772869,0.001033206,0.005219242,0.008927464,0.005442049,0.006432215,0.06886005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862884,"about_ca_system_score_gemma":0.00599142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006038992,"about_ca_topic_score_gemma":0.01466606,"domain_scores_codex":[0.995996,0.001379304,0.0002201611,0.0004100373,0.001436339,0.0005582783],"domain_scores_gemma":[0.9808194,0.005167756,0.001240552,0.001569502,0.005953118,0.005249677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009019749,0.00008737139,0.002089535,0.000394033,0.00002472743,0.0001523655,0.001924664,0.00009604421,0.0005794503,0.01433416,0.8511937,0.1290337],"study_design_scores_gemma":[0.00003410782,0.00007027155,0.00208812,0.0007267718,0.00004593589,0.0001410705,0.00346613,0.0001739505,0.0009443432,0.02501198,0.9672492,0.00004807255],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004453482,0.01187048,0.007037547,0.621349,0.0517289,0.0002082661,0.0007460202,0.000829682,0.3017766],"genre_scores_gemma":[0.1705843,0.04241119,0.01936868,0.1872277,0.03620234,0.0006710532,0.001310147,0.001753465,0.5404711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1942305,"threshold_uncertainty_score":0.6497656,"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."}}