{"id":"W6964119604","doi":"10.25384/sage.c.4311554","title":"Democratic governance in an age of datafication: Lessons from mapping government discourses and practices","year":2018,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Accountability; Government (linguistics); Democracy; Enthusiasm; Good governance; Corporate governance; Democratic governance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0371766,0.0005467174,0.0007465834,0.007838559,0.03342389,0.02756863,0.002917379,0.00329712,0.002930043],"category_scores_gemma":[0.04570586,0.0005711063,0.0004636498,0.01255259,0.09060889,0.02407655,0.01609923,0.006965072,0.000256872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05028084,"about_ca_system_score_gemma":0.04243753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2963763,"about_ca_topic_score_gemma":0.3113757,"domain_scores_codex":[0.9692825,0.02273821,0.0006582215,0.001498956,0.003198217,0.002623815],"domain_scores_gemma":[0.9456603,0.04339782,0.001916898,0.003912241,0.003279435,0.001833311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008058881,0.00000947559,0.001365269,0.0000431252,0.000003212015,0.0001126091,0.9124689,0.00008744583,0.00005096877,0.07915246,0.0009027911,0.005795775],"study_design_scores_gemma":[0.000003840262,0.000004336317,0.001575253,0.0002200011,0.000003051548,0.00004988341,0.9146538,0.0002330012,0.0001334943,0.04067162,0.04243778,0.00001395314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6465109,0.006061169,0.02260444,0.08613814,0.0003442447,0.0003073938,0.0003196692,0.0001227774,0.2375912],"genre_scores_gemma":[0.9927728,0.001077593,0.002102441,0.0007948682,0.00002451021,0.00006962926,0.00005378614,0.00006795102,0.003036621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2963763,"threshold_uncertainty_score":0.5893025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002402005486052,"score_gpt":0.3538135546474762,"score_spread":0.2535733540988711,"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."}}