{"id":"W1604273166","doi":"10.1002/eet.1671","title":"Contested Governmentalities: NGO enrollment and influence over chemical risk governance rationales and practices","year":2015,"lang":"en","type":"article","venue":"Environmental Policy and Governance","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Governmentality; Corporate governance; Transparency (behavior); Credibility; Stakeholder; Public relations; Stakeholder engagement; Timeline; Political science; Public administration; Sociology; Business; Law; Politics; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03119316,0.0001519787,0.0003060192,0.001913532,0.006287024,0.01006986,0.001027041,0.001857388,0.004807614],"category_scores_gemma":[0.07377297,0.000219094,0.000209022,0.001822474,0.01818139,0.003419959,0.006001829,0.002377072,0.0001568996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01507953,"about_ca_system_score_gemma":0.01483152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1126565,"about_ca_topic_score_gemma":0.1262172,"domain_scores_codex":[0.9677605,0.01963002,0.0009324625,0.002080511,0.00578193,0.003814555],"domain_scores_gemma":[0.8637125,0.09547992,0.017076,0.004997914,0.009677853,0.009055803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002545663,0.0003229383,0.2655233,0.0001353943,0.00008454624,0.0008446073,0.368254,0.002382499,0.001460922,0.3107593,0.003600538,0.04637736],"study_design_scores_gemma":[0.0001017651,0.0001560935,0.2383498,0.0006620758,0.00008589119,0.0002220372,0.5273296,0.005048555,0.001028718,0.153132,0.07371615,0.000167194],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030459,0.0002466009,0.002686366,0.01057381,0.00003766365,0.00009523376,0.00004337309,0.00001204268,0.08325907],"genre_scores_gemma":[0.9990675,0.00004563428,0.0001203829,0.000187329,0.000005790002,0.000008257796,0.000005685084,0.000003054266,0.0005563132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993713,"threshold_uncertainty_score":0.2240015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939094264873135,"score_gpt":0.3079327517142466,"score_spread":0.2885418090655152,"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."}}