{"id":"W6923544090","doi":"10.14288/1.0444918","title":"UBC has a Litter-al Issue : A Comprehensive Outdoor Litter Audit at the University of British Columbia","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Litter; Audit; Sustainability; Marine debris; Municipal solid waste","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228287,0.0003184814,0.0003702819,0.001908682,0.009550442,0.003009455,0.001357872,0.001163784,0.005009476],"category_scores_gemma":[0.006641101,0.0006237015,0.0001899998,0.002443337,0.001225614,0.0007175673,0.001731235,0.0018975,0.0007098236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02060915,"about_ca_system_score_gemma":0.05201588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8391511,"about_ca_topic_score_gemma":0.9535271,"domain_scores_codex":[0.9963715,0.000449291,0.0001565089,0.0002139723,0.002005155,0.0008034832],"domain_scores_gemma":[0.9855407,0.001161598,0.0008679269,0.0005676161,0.008513632,0.003348464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000398637,0.0006620968,0.3520979,0.0009857041,0.00008320294,0.01469331,0.01754295,0.001327211,0.01379795,0.001576034,0.2732674,0.3235675],"study_design_scores_gemma":[0.00002008712,0.0003087024,0.7045817,0.000810852,0.00003348705,0.001375273,0.04482079,0.001498559,0.003045261,0.0004205013,0.242955,0.0001298367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8708577,0.004856436,0.003815741,0.03430793,0.0009465459,0.001777046,0.003132245,0.0009866593,0.07931963],"genre_scores_gemma":[0.8481153,0.003927335,0.01099678,0.01333185,0.0001383977,0.0003829048,0.001930985,0.0002768996,0.1208995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608489,"threshold_uncertainty_score":0.3235922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007774804996974143,"score_gpt":0.1613168672916634,"score_spread":0.1535420622946892,"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."}}