{"id":"W3026209440","doi":"10.1111/1758-5899.12826","title":"Interrogating Technology‐led Experiments in Sustainability Governance","year":2020,"lang":"en","type":"article","venue":"Global Policy","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Warwick","keywords":"Sustainability; Corporate governance; Transparency (behavior); Politics; Stakeholder; Experimentalism; Business; Political science; Global governance; Public relations; Law","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":[0.0001096514,0.0001594606,0.0001793947,0.00001167784,0.00006245184,0.00002078489,0.0004294619,0.00009977334,0.0004272934],"category_scores_gemma":[0.00132817,0.0001655838,0.00004923514,0.001279087,0.0002931884,0.0002295374,0.0006514557,0.0001478798,0.0001779467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00325182,"about_ca_system_score_gemma":0.00006273476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026124,"about_ca_topic_score_gemma":0.0009260229,"domain_scores_codex":[0.9985246,0.00004164607,0.000243103,0.0004450968,0.0002283806,0.0005171581],"domain_scores_gemma":[0.9994822,0.00001275066,0.0001005766,0.0002638987,0.00001434111,0.0001262571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001762316,0.0003352252,0.9403581,0.0001186996,0.00001006473,0.0001060407,0.01538964,0.00100412,0.0009307249,0.01409599,0.002707397,0.02476778],"study_design_scores_gemma":[0.003355572,0.000510357,0.7566354,0.00008341844,0.0000120626,0.0000236601,0.104332,0.002646857,0.00469511,0.08519663,0.04128547,0.001223484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488914,0.00008195726,0.00001755665,0.0385799,0.00003337368,0.0002835596,0.00002250159,0.00009515836,0.01199462],"genre_scores_gemma":[0.9977419,0.00001267457,0.0001548855,0.001928784,0.00005723802,0.00004227733,0.000001362602,0.000006932118,0.00005393897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837227,"threshold_uncertainty_score":0.8503397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313260680186246,"score_gpt":0.2968691833622022,"score_spread":0.2837365765603397,"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."}}