{"id":"W3196700894","doi":"10.3390/su131810052","title":"Inclusion in Global Environmental Governance: Sustained Access, Engagement and Influence in Decisive Spaces","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental law and policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inclusion (mineral); Negotiation; Corporate governance; Equity (law); Sustainability; Public relations; Business; Political science; Public administration; Sociology; Social science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165446,0.0001319524,0.0001777642,0.00002466559,0.0004463267,0.0001171122,0.0002766463,0.0001050448,0.0001684509],"category_scores_gemma":[0.001657299,0.0001426254,0.00003401159,0.0003798699,0.0005375412,0.0006500788,0.002567661,0.0001848004,0.000002829959],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005171695,"about_ca_system_score_gemma":0.0005662701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01404329,"about_ca_topic_score_gemma":0.03152179,"domain_scores_codex":[0.9978424,0.0005947306,0.0002492722,0.00041417,0.0004363528,0.0004630873],"domain_scores_gemma":[0.9993799,0.0001716713,0.00006838758,0.0002220919,0.00003743757,0.000120518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004749209,0.0002040445,0.9421424,0.00003756181,0.000002532485,0.0001305644,0.009079445,0.0001150058,0.00002829563,0.03887717,0.00002484573,0.009310653],"study_design_scores_gemma":[0.0004650903,0.00002460448,0.8758733,0.00001350122,0.000003027657,7.514376e-7,0.01839114,0.00000686618,0.00007968027,0.09159215,0.01340659,0.0001433205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876177,0.0006318543,0.000004368232,0.006130259,0.00003754445,0.0004516875,0.00002131679,0.00001313808,0.00509209],"genre_scores_gemma":[0.9985129,0.0006852471,0.00005430798,0.0003438594,0.00003173653,0.00002868091,0.000005640699,0.000004796409,0.0003327882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06626911,"threshold_uncertainty_score":0.9986473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00813261742537298,"score_gpt":0.3248182651263536,"score_spread":0.3166856477009807,"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."}}