{"id":"W2977472989","doi":"10.1080/08941920.2019.1667463","title":"On Institutional Diversity and Interplay in Natural Resource Governance","year":2019,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University; Université Laval","funders":"","keywords":"Corporate governance; Natural resource; Diversity (politics); Resource (disambiguation); Common-pool resource; Sustainability; Environmental resource management; Natural resource management; Political science; Ecology; Business; Economics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336557,0.0001688806,0.0001463703,0.00002342506,0.0006812114,0.00004091868,0.0003506532,0.00008459602,0.0003345404],"category_scores_gemma":[0.00003884349,0.0001429628,0.0001217834,0.0002648997,0.0003359559,0.0001884407,0.001990759,0.0003812058,0.000157228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541444,"about_ca_system_score_gemma":0.000004779613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007719633,"about_ca_topic_score_gemma":0.0002472919,"domain_scores_codex":[0.9985819,0.00004500898,0.000135948,0.0004332439,0.0005305642,0.0002733678],"domain_scores_gemma":[0.99956,0.0001076708,0.00008130909,0.0001811615,0.000007400757,0.00006243063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009674082,0.00004746287,0.9841174,0.0000194346,0.00002394793,0.000006616074,0.006810293,0.0004950473,0.0001823732,0.0001398615,0.004160622,0.003900134],"study_design_scores_gemma":[0.00062807,0.00003591975,0.90656,0.00004051545,0.000008000202,0.000002266247,0.001125486,0.002184399,0.00002046505,0.0000919698,0.08911398,0.0001889298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909208,0.0004361019,0.000001788094,0.001160231,0.00017951,0.0002188722,0.000007676154,0.00003681279,0.007038237],"genre_scores_gemma":[0.991567,0.0000574087,0.0000898683,0.002049066,0.00002912961,0.000001578512,0.000008453794,0.000004927458,0.006192557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08495336,"threshold_uncertainty_score":0.5829855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004887601196996983,"score_gpt":0.1892918952039304,"score_spread":0.1844042940069335,"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."}}