{"id":"W2946985918","doi":"10.1504/ijetp.2019.10021645","title":"Alternative projection of the 2040 nuclear power for eight countries","year":2019,"lang":"en","type":"article","venue":"International Journal of Energy Technology and Policy","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear power; China; Electricity generation; Electricity; Projection (relational algebra); Administration (probate law); Business; Agricultural economics; Economic growth; Geography; Political science; Economics; Power (physics); Engineering; Computer science; Physics; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001857491,0.00008583595,0.000163168,0.000546124,0.00005751884,0.00001760121,0.0005108526,0.0001589382,0.00008095327],"category_scores_gemma":[0.0003578315,0.00005808655,0.0001063547,0.0002560582,0.0002727834,0.0001317875,0.0001297757,0.0001645681,0.000001758215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129495,"about_ca_system_score_gemma":0.0001803972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006208494,"about_ca_topic_score_gemma":0.00006367261,"domain_scores_codex":[0.9991626,0.000043509,0.0002859042,0.0001024143,0.0002545013,0.000151119],"domain_scores_gemma":[0.9985609,0.00009018426,0.0002586849,0.0001337089,0.000929411,0.00002712731],"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":[0.0003402769,0.00005010237,0.002599372,0.000007838745,0.0001964876,0.000003206132,0.000116853,0.0005147122,0.0006376792,0.9898664,0.0001829815,0.005484125],"study_design_scores_gemma":[0.001124337,0.0004383331,0.001201562,0.00005701337,0.00001306249,0.0001941877,0.0003352529,0.0003206104,0.01074765,0.4279364,0.5575398,0.00009170339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667331,0.0002539038,0.0002751017,0.01695982,0.0008706496,0.00008702277,0.00002413461,0.00001375534,0.01478252],"genre_scores_gemma":[0.9976224,0.0001389611,0.0001127216,0.0003401175,0.0001615707,0.000003975415,0.000001322435,0.000008929655,0.001610046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5619299,"threshold_uncertainty_score":0.2368701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005633524212027354,"score_gpt":0.2882773071985577,"score_spread":0.2826437829865303,"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."}}