{"id":"W2805580942","doi":"10.1126/sciadv.aar5237","title":"Corporate control and global governance of marine genetic resources","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Nippon Foundation; Svenska Forskningsrådet Formas; Stiftelsen för Miljöstrategisk Forskning; Walton Family Foundation; Familjen Erling-Perssons Stiftelse; Gordon and Betty Moore Foundation; Styrelsen för Internationellt Utvecklingssamarbete; David and Lucile Packard Foundation","keywords":"Corporate governance; Corporation; Genetic resources; Business; Control (management); Biology; Computer science; Biotechnology; Finance; Artificial intelligence","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":[0.0089615,0.0001096019,0.0002085893,0.00182573,0.002294607,0.008337537,0.0005915121,0.001181017,0.003494515],"category_scores_gemma":[0.01753279,0.0001209119,0.0001423826,0.001950752,0.008551386,0.004262173,0.003446502,0.001056304,0.0002241358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664842,"about_ca_system_score_gemma":0.003012674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00736026,"about_ca_topic_score_gemma":0.00960033,"domain_scores_codex":[0.9953709,0.001868211,0.0002226181,0.0006234547,0.001014515,0.0009002555],"domain_scores_gemma":[0.9785567,0.0117758,0.004993471,0.001986956,0.001436496,0.001250631],"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":[0.0000259309,0.00006087376,0.09312829,0.00005998415,0.00004050328,0.0003789087,0.01039429,0.001661031,0.0007377403,0.809467,0.005085575,0.07895988],"study_design_scores_gemma":[0.00004364309,0.0001243386,0.1800522,0.0006539154,0.00007898102,0.0004874375,0.03442588,0.005008952,0.001900281,0.5427247,0.2344108,0.00008889844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6228271,0.002812131,0.008594062,0.02433067,0.00008399921,0.00004780219,0.00008809097,0.00004295791,0.3411732],"genre_scores_gemma":[0.9969976,0.0002835467,0.0002816947,0.0004165827,0.00003129709,0.000007590397,0.0000147002,0.000004152987,0.001962858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0089615,"threshold_uncertainty_score":0.0473935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004959408237534272,"score_gpt":0.2318399530024759,"score_spread":0.2268805447649416,"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."}}