{"id":"W3125534413","doi":"","title":"Legal Liability for Environmental Harm from Deep Seabed Mining: Synthesis and Overview","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Liability; Harm; Context (archaeology); Strict liability; Damages; Business; Environmental planning; Legal liability; Tort; Work (physics); Environmental resource management; Law; Political science; Engineering; Economics; Environmental science; Geography; Finance","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":[0.003804492,0.0007714839,0.001110491,0.01181024,0.001308586,0.006761766,0.001186034,0.003240185,0.003965555],"category_scores_gemma":[0.005156887,0.0005873568,0.0008835723,0.009153564,0.00426524,0.009429402,0.002564922,0.003369159,0.0006619548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006917038,"about_ca_system_score_gemma":0.006100334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954104,"about_ca_topic_score_gemma":0.008479392,"domain_scores_codex":[0.9980066,0.0006544509,0.0002497236,0.0002497195,0.0006621135,0.0001773638],"domain_scores_gemma":[0.9930919,0.00529558,0.0005860798,0.0001442349,0.0007730383,0.0001090916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005298618,0.0001224976,0.001865711,0.01332112,0.0001023159,0.0002748854,0.002665291,0.004682048,0.0006461013,0.6785555,0.01968647,0.2780252],"study_design_scores_gemma":[0.000007977124,0.0001600922,0.007649536,0.03172282,0.0001638403,0.0005754607,0.00333648,0.002119344,0.0007437001,0.2150103,0.7384481,0.00006231879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003415189,0.9305366,0.007880019,0.00963583,0.0007464812,0.0000532021,0.0001586832,0.00002370562,0.04755018],"genre_scores_gemma":[0.03356636,0.9555315,0.004567739,0.002619602,0.001083764,0.0000671817,0.0001704607,0.00001582176,0.002377637],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01181024,"threshold_uncertainty_score":0.05018693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008565390732162146,"score_gpt":0.2396018853064512,"score_spread":0.231036494574289,"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."}}