{"id":"W3158360948","doi":"10.24908/iqurcp.8268","title":"Marine Debris: Sources, Impacts and Reduction Programs","year":2016,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine debris; Debris; Fishing; Environmental planning; Environmental protection; Business; Fishery; Environmental science; Environmental resource management; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002361167,0.000517942,0.0001983033,0.003330544,0.001422591,0.001894169,0.001379948,0.0009564894,0.009963093],"category_scores_gemma":[0.00371721,0.0001994631,0.0003160675,0.001853775,0.0006219723,0.0009386207,0.002020122,0.0008301451,0.001617812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486466,"about_ca_system_score_gemma":0.01369553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312076,"about_ca_topic_score_gemma":0.02779688,"domain_scores_codex":[0.9984081,0.0003537166,0.00008420806,0.00009747833,0.000816658,0.0002397513],"domain_scores_gemma":[0.9981443,0.0002372597,0.0003317632,0.00007822188,0.0008773747,0.0003310919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001235318,0.00204256,0.0281683,0.002707835,0.0000553203,0.0003743996,0.001921338,0.003773219,0.00397144,0.02157114,0.07670639,0.8585846],"study_design_scores_gemma":[0.0001105785,0.0009193639,0.1917354,0.002629159,0.0001221825,0.0003400798,0.006426589,0.001906354,0.006233947,0.006775274,0.7827382,0.00006277079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1510865,0.06166128,0.02824414,0.08774324,0.001251205,0.006765429,0.004731933,0.001707782,0.6568085],"genre_scores_gemma":[0.6385388,0.08052323,0.05551865,0.0107432,0.00105194,0.003641908,0.003412099,0.0001601755,0.2064099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02312076,"threshold_uncertainty_score":0.04597235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05420136359558683,"score_gpt":0.3049365592747306,"score_spread":0.2507351956791438,"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."}}