{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002595249,0.0002808068,0.0002243244,0.0001155769,0.001094012,0.0000958461,0.0003228472,0.00005164773,0.00103368],"category_scores_gemma":[0.00004500789,0.0002732922,0.00003486986,0.0002459443,0.0003318824,0.0001018633,0.0008940197,0.0003540141,0.00008609676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231606,"about_ca_system_score_gemma":0.00006753887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121381,"about_ca_topic_score_gemma":0.0001479014,"domain_scores_codex":[0.998178,0.0001338763,0.0003062619,0.000445146,0.0004155639,0.0005211203],"domain_scores_gemma":[0.9990706,0.0001302474,0.0001456224,0.0003641345,0.00001981282,0.0002695365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001117291,0.0005041898,0.004961369,0.00006437285,0.0001327863,0.0002339036,0.004584113,0.2455348,0.6603536,0.001577819,0.04941089,0.0315249],"study_design_scores_gemma":[0.008384834,0.006541306,0.04186757,0.0003272149,0.0009568022,0.006084302,0.01627291,0.0447437,0.02328632,0.0009776996,0.8452643,0.005293022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593561,0.0002483738,0.03602359,0.0008510444,0.0007568119,0.0004094699,0.0004843041,0.00009201508,0.001778301],"genre_scores_gemma":[0.9895717,0.00008168216,0.00856051,0.0005301771,0.00007408048,0.00003148155,0.00005788796,0.00004393894,0.00104855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7958534,"threshold_uncertainty_score":0.9999719,"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."}}