{"id":"W2791767311","doi":"10.4000/echogeo.15288","title":"Government versus Governance: structure versus process","year":2018,"lang":"en","type":"article","venue":"EchoGéo","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Corporate governance; Government (linguistics); Process (computing); Stakeholder; Public administration; Political science; Business; Public relations; Computer science; Philosophy; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002613106,0.0001297954,0.0001308423,0.000005713642,0.0008115466,0.0001198046,0.0005840341,0.0001286424,0.002404871],"category_scores_gemma":[0.0005444251,0.0001207745,0.0000604922,0.0004481067,0.0006380403,0.0003676169,0.00005424114,0.0001381091,0.000214084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552552,"about_ca_system_score_gemma":0.0002900699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603324,"about_ca_topic_score_gemma":0.02137277,"domain_scores_codex":[0.9975666,0.00005218193,0.0001414903,0.0003381917,0.001393034,0.0005084964],"domain_scores_gemma":[0.9992753,0.00009164046,0.0001663487,0.0001974224,0.0001011357,0.0001681127],"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":[0.002566691,0.0001919943,0.01440208,0.00002723869,0.0001343784,0.00002361333,0.06744228,0.00002223923,0.0004113515,0.5669505,0.2447696,0.103058],"study_design_scores_gemma":[0.002109936,0.000379131,0.01868671,0.0000233151,0.00002367372,2.485964e-7,0.01335594,0.00005068416,0.001271189,0.001965659,0.9617104,0.0004231112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6274852,0.0002431387,0.00004505146,0.003004255,0.008398864,0.0002536149,0.00008168849,0.0001292537,0.360359],"genre_scores_gemma":[0.9929749,0.000115312,0.0001807738,0.0001638686,0.00248365,0.000008290776,9.97393e-7,0.00001040447,0.004061797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7169408,"threshold_uncertainty_score":0.9985071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262513722747879,"score_gpt":0.3434694717556609,"score_spread":0.317218099480873,"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."}}