{"id":"W4231432229","doi":"10.31234/osf.io/pw9tk","title":"Reducing plastic waste by visualizing marine consequences","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs; Canada Research Chairs","keywords":"Signage; Plastic waste; Pledge; Plastic pollution; Environmental science; Waste management; Business; Environmental planning; Engineering; Pollution; Ecology; Advertising; Political science","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":[0.000825785,0.0008099646,0.0004842999,0.0002625766,0.0002355961,0.0004422998,0.0006167432,0.0006829613,0.005370724],"category_scores_gemma":[0.002160514,0.000219997,0.0004360045,0.0001370267,0.0006714688,0.0003764885,0.0005984112,0.0007594422,0.0003339254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652632,"about_ca_system_score_gemma":0.0005474889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005924826,"about_ca_topic_score_gemma":0.001212901,"domain_scores_codex":[0.9993844,0.00032157,0.00003260369,0.00009985858,0.0001062836,0.00005528089],"domain_scores_gemma":[0.9988104,0.0006297044,0.0002584581,0.00009300689,0.00004567046,0.0001626623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03450822,0.08939331,0.01493346,0.004048964,0.0005074148,0.0002077332,0.001070309,0.008195238,0.4267193,0.001826583,0.00207407,0.4165154],"study_design_scores_gemma":[0.01730856,0.4704716,0.1112457,0.0007600006,0.001722205,0.0003546241,0.001446831,0.01847571,0.3556169,0.004522488,0.0178082,0.0002670776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916374,0.000314831,0.005403064,0.0002057183,0.00006747099,0.000511886,0.00008157235,0.0001154087,0.001662635],"genre_scores_gemma":[0.9610043,0.0007502555,0.0339007,0.0003151732,0.00005590069,0.001601622,0.0001069191,0.00002381989,0.002241272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005370724,"threshold_uncertainty_score":0.01796693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362065219244386,"score_gpt":0.2374202644366199,"score_spread":0.223799612244176,"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."}}