{"id":"W3161755478","doi":"10.4337/9781800885349.00011","title":"Rights to do, rights to prevent, and an intersected approach? Lessons from intellectual property, information control and oil and gas","year":2021,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Corporate Law and Human Rights","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Legislature; Political science; Enforcement; Law and economics; Property rights; Battle; Settlement (finance); Private rights; Related rights; Information sharing; Business; Law; Economics; Geography; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005697465,0.0004857099,0.0005389004,0.001499702,0.004456589,0.01845526,0.001418405,0.005809152,0.008764474],"category_scores_gemma":[0.006762634,0.0003178507,0.0003159627,0.002217481,0.05561491,0.02252723,0.004968116,0.006756388,0.001347924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008457959,"about_ca_system_score_gemma":0.01022657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556283,"about_ca_topic_score_gemma":0.01312884,"domain_scores_codex":[0.9953049,0.001875257,0.0001471768,0.0004252512,0.001577321,0.0006701007],"domain_scores_gemma":[0.9959059,0.002720392,0.0001930232,0.0005170646,0.0003386009,0.0003250371],"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":[0.000001268159,0.000003185625,0.0000128433,0.000007742106,3.74122e-7,0.000007974731,0.0004982871,0.0000419589,0.000006545486,0.994472,0.002381121,0.002566683],"study_design_scores_gemma":[0.000003759242,0.000004791463,0.00007997548,0.0001146458,0.000001132938,0.00003181363,0.001267308,0.0001109389,0.00002694439,0.8729959,0.1253585,0.000004351532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003668044,0.02666385,0.006470104,0.1009872,0.0006823973,0.00002400188,0.00004848389,0.00003264378,0.8614232],"genre_scores_gemma":[0.6316233,0.04571506,0.005289891,0.02451213,0.003618299,0.0002168892,0.0001438395,0.0001120399,0.2887684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01845526,"threshold_uncertainty_score":0.06136709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064572406777387,"score_gpt":0.2088368734138681,"score_spread":0.1881911493460942,"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."}}