{"id":"W3038069668","doi":"10.1080/14494035.2020.1785726","title":"Understanding inclusion in collaborative governance: a mixed methods approach","year":2020,"lang":"en","type":"article","venue":"Policy and Society","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council; Economic and Social Research Council","keywords":"Inclusion (mineral); Corporate governance; Incentive; Collaborative governance; Management science; Public relations; Sociology; Political science; Management; Economics; Microeconomics; Social 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":[0.001640477,0.00007523724,0.0001366933,0.0000208189,0.001012716,0.0001212673,0.0001732988,0.0001207705,0.00002328593],"category_scores_gemma":[0.001230554,0.00007272654,0.00005002115,0.001196755,0.0003708119,0.0002308252,0.0003789519,0.0002054572,0.000001301913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872116,"about_ca_system_score_gemma":0.0009737197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793112,"about_ca_topic_score_gemma":0.0002202737,"domain_scores_codex":[0.9984955,0.0005264729,0.0001365832,0.0001957666,0.0003272932,0.0003183721],"domain_scores_gemma":[0.9993138,0.0003077476,0.00005286363,0.00005289945,0.00003361828,0.0002390807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008345644,0.00002465791,0.0001210649,0.0000172529,0.000009177805,5.149647e-7,0.1911256,0.000004492343,0.0001573675,0.8022118,0.004454048,0.00186565],"study_design_scores_gemma":[0.002272975,0.0001659998,0.005305912,0.00003916232,0.00001301653,0.000001240222,0.3636498,0.01685757,0.0005651077,0.1781759,0.4323183,0.0006349634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0208999,0.0004270926,0.03194551,0.271972,0.0000865685,0.0007033851,0.00008993563,0.0001266416,0.673749],"genre_scores_gemma":[0.9877553,0.0008054934,0.006556544,0.004128313,0.0003617177,0.00001527899,0.000003501336,0.000005179407,0.0003686855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668554,"threshold_uncertainty_score":0.7789091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2097985542680506,"score_gpt":0.4730520588709803,"score_spread":0.2632535046029297,"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."}}