{"id":"W4392287653","doi":"10.1111/1467-9477.12267","title":"Understanding institutional layers and modes of change for energy transitions: Analysis of Norway's electricity sector reforms","year":2024,"lang":"en","type":"article","venue":"Scandinavian Political Studies","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Restructuring; Electricity; Layering; Hierarchy; Institutional change; Economic system; Energy transition; Transition (genetics); Business; Energy (signal processing); Scale (ratio); Energy sector; Institutional analysis; Industrial organization; Political science; Economics; Market economy; Sociology; Public administration; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001386444,0.0001007611,0.0002729471,0.0001001382,0.0001324849,0.000009746927,0.00005715782,0.0000439586,0.00007855408],"category_scores_gemma":[0.0000630718,0.00007822169,0.000122214,0.0006193204,0.0007405208,0.0001594796,0.00004715416,0.00004082968,5.038687e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008453507,"about_ca_system_score_gemma":0.00001123015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008272048,"about_ca_topic_score_gemma":0.0009847392,"domain_scores_codex":[0.999097,0.00001769995,0.0001902836,0.000220236,0.0001819306,0.0002928843],"domain_scores_gemma":[0.999635,0.0001682721,0.00003235264,0.00007593829,0.00002010647,0.00006834127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006137625,0.00006785465,0.009498243,0.0004386928,0.0006327803,0.000003291314,0.003983587,0.0001028972,0.0005219103,0.9841533,0.00006847368,0.0004676517],"study_design_scores_gemma":[0.001252373,0.001200909,0.1484888,0.0006484393,0.003460733,0.00001373919,0.07878226,0.03836741,0.009033727,0.7164517,0.001361922,0.0009379569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828556,0.00285479,0.008375778,0.001721036,0.00007097783,0.000244904,0.0007054858,0.00002665936,0.003144824],"genre_scores_gemma":[0.9993702,0.0002882747,0.00009977798,0.00008487463,0.00002915279,0.00006057641,0.000009933238,0.000004896412,0.00005231274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2677015,"threshold_uncertainty_score":0.3189788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2042216309700203,"score_gpt":0.3276976676948605,"score_spread":0.1234760367248402,"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."}}