{"id":"W3031194685","doi":"10.1016/j.resconrec.2020.104950","title":"Rethinking marine insurance and plastic pollution: food for thought","year":2020,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Association of Commonwealth Universities","keywords":"Plastic pollution; Business; Pollution; Marine pollution; Liability insurance; Liability; Insurance policy; Cover (algebra); Environmental planning; Actuarial science; Environmental science; Finance; Engineering; 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":[0.005311452,0.0007200337,0.0009007402,0.001130226,0.003343177,0.009064207,0.002078776,0.01393722,0.01627453],"category_scores_gemma":[0.01112505,0.0003208652,0.0007472048,0.0006271217,0.02448379,0.02044484,0.004229669,0.01186401,0.001373326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004767008,"about_ca_system_score_gemma":0.007020489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214864,"about_ca_topic_score_gemma":0.01664762,"domain_scores_codex":[0.9980222,0.0006227753,0.00006507284,0.000403985,0.0005471112,0.0003387825],"domain_scores_gemma":[0.9905314,0.006112224,0.0004316983,0.0007141693,0.001523132,0.0006874017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001492459,0.0002331691,0.002123895,0.0004830336,0.0000916679,0.0003861505,0.002937075,0.001035301,0.001875774,0.7564526,0.1272819,0.1069502],"study_design_scores_gemma":[0.00002149385,0.00006142293,0.001449217,0.0006340484,0.00003296077,0.0001282477,0.008036649,0.0005434126,0.0006426325,0.6816104,0.3067847,0.00005473769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009279884,0.06204483,0.005677442,0.8745475,0.01200903,0.00002067059,0.00005899733,0.0001012498,0.03626043],"genre_scores_gemma":[0.3884249,0.07850662,0.007188964,0.4581265,0.0234855,0.0001030181,0.00007534874,0.0001924812,0.04389672],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01627453,"threshold_uncertainty_score":0.05444378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533314450376831,"score_gpt":0.2107039526861241,"score_spread":0.1853708081823558,"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."}}