{"id":"W2576416072","doi":"10.5539/ass.v13n2p107","title":"Mining the Deep Seabed: Is Malaysia Ready?","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Terengganu; Institut Oseanografi dan Sekitaran, Universiti Malaysia Terengganu; Universiti Sains Islam Malaysia","keywords":"Seabed; Deep sea; United Nations Convention on the Law of the Sea; Mining engineering; Geology; Oceanography; Environmental protection; Environmental planning; Environmental science; Business; Environmental resource management; Convention; Law; Political science","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":[0.0006811964,0.0001795074,0.0001048207,0.0003084633,0.001447288,0.003182868,0.000315148,0.001530905,0.004114913],"category_scores_gemma":[0.001466671,0.0001367052,0.00009698094,0.0005730866,0.002230728,0.003937163,0.001120654,0.00136481,0.0006613482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485275,"about_ca_system_score_gemma":0.005885578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02658651,"about_ca_topic_score_gemma":0.05344326,"domain_scores_codex":[0.9995688,0.0001352135,0.00003008379,0.00004781678,0.0001057943,0.0001123397],"domain_scores_gemma":[0.9994313,0.00009249981,0.0002207844,0.00001701932,0.00009965302,0.0001388183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003245551,0.0003140453,0.1909332,0.003760927,0.00007345918,0.006443632,0.05495507,0.001146335,0.007458854,0.17175,0.09427357,0.4685664],"study_design_scores_gemma":[0.00001397899,0.0003204356,0.1930749,0.00322468,0.00004138048,0.002766972,0.2244753,0.0008352377,0.002642848,0.02132724,0.5511479,0.0001291223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5083644,0.03270376,0.0009360659,0.3138008,0.001203392,0.00004438864,0.0005469579,0.00003399133,0.1423662],"genre_scores_gemma":[0.9411634,0.02229274,0.0005605661,0.01379965,0.0001044165,0.00001457144,0.00008777409,0.000008436866,0.02196843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658651,"threshold_uncertainty_score":0.05286348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431310539454844,"score_gpt":0.2864931426615536,"score_spread":0.2721800372670052,"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."}}