{"id":"W4282937451","doi":"10.3390/microplastics1020023","title":"Communicating Threats and Potential Opportunities to Reduce Microplastic Pollution with Key Stakeholders","year":2022,"lang":"en","type":"article","venue":"Microplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Key (lock); Business; Plastic pollution; Environmental planning; Pollution; Human health; Environmental resource management; Natural resource economics; Environmental protection; Environmental science; Environmental health; Computer security; Economics; Computer science; Ecology","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":[0.01377402,0.0007060943,0.0003692317,0.001221552,0.006052385,0.006184007,0.0008517141,0.005997017,0.01343391],"category_scores_gemma":[0.0302512,0.0003547551,0.0004454723,0.0006166688,0.002013847,0.007189777,0.008262083,0.006445763,0.00198318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151037,"about_ca_system_score_gemma":0.005112058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936665,"about_ca_topic_score_gemma":0.002482972,"domain_scores_codex":[0.9944728,0.003299911,0.0002443575,0.0002555604,0.001087318,0.0006400684],"domain_scores_gemma":[0.9783517,0.0129298,0.002701914,0.0003835182,0.003406803,0.00222627],"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":[0.0005053093,0.0005524622,0.04329162,0.003555295,0.0002233248,0.004927502,0.156447,0.002090139,0.02072198,0.101081,0.2104869,0.4561175],"study_design_scores_gemma":[0.00005888945,0.0006064387,0.01504785,0.002947629,0.0002005833,0.001379269,0.2015992,0.003059334,0.008244337,0.08270486,0.6839609,0.0001907282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09756389,0.005441217,0.0264584,0.7243222,0.004413453,0.0003965919,0.0003442587,0.0002788538,0.1407812],"genre_scores_gemma":[0.9016485,0.00922973,0.01225534,0.05969899,0.00239838,0.0004134348,0.0001902011,0.00007103178,0.01409434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01377402,"threshold_uncertainty_score":0.07284486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05062044850628592,"score_gpt":0.2259040301882546,"score_spread":0.1752835816819687,"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."}}