{"id":"W2151014511","doi":"10.1016/j.envsci.2012.08.004","title":"Interactions between organizations and networks in common-pool resource governance","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Common-pool resource; Incentive; Corporate governance; Commons; Business; Resource (disambiguation); Process (computing); Environmental economics; Scholarship; Variety (cybernetics); Social capital; Information flow; Knowledge management; Property rights; Product (mathematics); Industrial organization; Economics; Microeconomics; Computer science; Sociology; Economic growth; Finance; Political science","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":[0.0006406197,0.000066263,0.00006891769,0.00006412082,0.0009879961,0.00004994093,0.0001960763,0.00003375413,0.0002381299],"category_scores_gemma":[0.0001060323,0.00006999436,0.00001026172,0.0008214004,0.001103882,0.001120954,0.0001087234,0.0001207371,0.0000534589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101627,"about_ca_system_score_gemma":0.00007255109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049532,"about_ca_topic_score_gemma":0.0004499564,"domain_scores_codex":[0.9989952,0.000126575,0.0001267429,0.0001486025,0.0002377499,0.0003651634],"domain_scores_gemma":[0.9995853,0.00007638424,0.00004944352,0.0001070033,0.000003973487,0.0001778559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004245589,0.0001233117,0.781814,7.257745e-7,0.000002459355,3.821534e-7,0.01797719,0.000725679,0.001329985,0.1780134,0.0001668097,0.0198418],"study_design_scores_gemma":[0.00008781222,0.00001304589,0.9539863,0.000007950218,0.000003892933,0.000002339272,0.002677909,0.0002392794,0.0001575481,0.0007491597,0.04195288,0.0001218391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834146,0.0001302583,0.0002246795,0.001855874,0.00006777268,0.0001260544,0.000008581415,0.00002187748,0.01415027],"genre_scores_gemma":[0.9981487,0.0001137064,0.00005264411,0.0002640873,0.0004947628,0.000007111929,0.000007057364,0.000004317276,0.0009075766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772643,"threshold_uncertainty_score":0.7598968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007737010076451702,"score_gpt":0.2834869676688733,"score_spread":0.2757499575924215,"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."}}