{"id":"W2478501622","doi":"","title":"Enforcement and Liability Challenges for Environmental Regulation of Deep Seabed Mining","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mining and Resource Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Enforcement; Jurisdiction; Liability; Anticipation (artificial intelligence); Business; Seabed; Environmental planning; Environmental law; Environmental resource management; Political science; Law; Fishery; Environmental science; Computer science; 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":[0.02995858,0.0004554557,0.001090659,0.002160516,0.007847153,0.01966161,0.003952091,0.01819879,0.003946457],"category_scores_gemma":[0.04492945,0.0008511372,0.001707169,0.001525131,0.01329756,0.01313543,0.007370471,0.01478398,0.0006386699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004274818,"about_ca_system_score_gemma":0.01028426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008128298,"about_ca_topic_score_gemma":0.008285852,"domain_scores_codex":[0.971424,0.008833198,0.002295638,0.002773672,0.01145543,0.003218003],"domain_scores_gemma":[0.9456219,0.03770099,0.005496937,0.00337312,0.006025016,0.001782069],"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":[0.00004604055,0.0001243133,0.002360275,0.0001372552,0.00003873905,0.001417616,0.001849963,0.009548776,0.0007069548,0.9513577,0.00786742,0.02454499],"study_design_scores_gemma":[0.00006076658,0.0001269177,0.003040177,0.001013695,0.00008058744,0.001203329,0.004482286,0.01349216,0.001045677,0.9019292,0.07337509,0.0001501588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1499032,0.01419695,0.08786058,0.3010432,0.001382364,0.0003425489,0.0002183595,0.0002065174,0.4448463],"genre_scores_gemma":[0.9369898,0.004998202,0.02042909,0.02063927,0.001577754,0.0002161095,0.0000785217,0.00006152891,0.01500969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02995858,"threshold_uncertainty_score":0.158438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006722918309553711,"score_gpt":0.1859305339130843,"score_spread":0.1792076156035306,"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."}}