{"id":"W7100449952","doi":"","title":"DISMANTLING BRITISH ENERGY","year":2003,"lang":"en","type":"article","venue":"","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Creditor; Electricity; Corporation; Nuclear power; Dispose pattern; Loan; Mains electricity; Liberalization","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":[0.003126808,0.001001671,0.0005023123,0.001192705,0.009541647,0.008209833,0.001492931,0.005653924,0.07783512],"category_scores_gemma":[0.008431957,0.0005432873,0.0005256778,0.0009733792,0.00365784,0.004912696,0.004724457,0.009561002,0.02969214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009367052,"about_ca_system_score_gemma":0.01357705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1731278,"about_ca_topic_score_gemma":0.3342958,"domain_scores_codex":[0.9957927,0.0004748475,0.0001864371,0.0005207784,0.002053777,0.0009714129],"domain_scores_gemma":[0.9947745,0.0006783972,0.0001486397,0.0003403366,0.002131027,0.001927171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003551191,0.00001603696,0.0002416466,0.00008427482,0.000005695191,0.000232444,0.0008905301,0.000023551,0.0003004297,0.03042307,0.9409556,0.02679116],"study_design_scores_gemma":[0.000002844015,0.000009907474,0.0002147103,0.00003462414,0.000001565301,0.00006144283,0.0003246571,0.00001396317,0.00007740628,0.0008911826,0.9983625,0.000005297124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0105253,0.01651257,0.002623043,0.3870651,0.05295534,0.00008977721,0.0009284607,0.001153623,0.5281467],"genre_scores_gemma":[0.03402218,0.005210089,0.001106699,0.1226752,0.001764404,0.00006261436,0.0005524009,0.0007653808,0.833841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1731278,"threshold_uncertainty_score":0.3442401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007442768436609108,"score_gpt":0.1799992485894023,"score_spread":0.1725564801527932,"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."}}