{"id":"W2791143042","doi":"10.30573/ks--2018-dp029","title":"Economic Cycles and the Responsiveness of Natural Gas Demand in China’s Residential Sector","year":2018,"lang":"en","type":"report","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"China; Natural gas; Natural resource economics; Economics; Business; Geography; Engineering; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005854643,0.0002364695,0.0002962417,0.001101432,0.0005209793,0.001417971,0.0004614433,0.000497181,0.002841835],"category_scores_gemma":[0.002171133,0.000329641,0.0004762727,0.001735614,0.0005557834,0.0007368993,0.0006886629,0.0005618171,0.0002729966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004190715,"about_ca_system_score_gemma":0.002559552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1563465,"about_ca_topic_score_gemma":0.1858875,"domain_scores_codex":[0.9997229,0.00003969075,0.00002016004,0.00003541079,0.00005951778,0.000122317],"domain_scores_gemma":[0.9982298,0.0005809091,0.0004390376,0.00009153755,0.0003851027,0.0002737089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004328602,0.0001538562,0.9208831,0.0000687699,0.0001928473,0.001078927,0.001197747,0.04693966,0.00450654,0.01274849,0.003430984,0.008366155],"study_design_scores_gemma":[0.00002212623,0.00007227028,0.9281636,0.00001716149,0.00005375057,0.00009923516,0.002360187,0.0603425,0.001697353,0.003217546,0.003898031,0.00005623371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962339,0.00008948937,0.0001301762,0.0005862074,0.000005237543,0.000008501169,0.0005539001,0.00001028828,0.002382356],"genre_scores_gemma":[0.9987553,0.00008418618,0.00001770222,0.00002293391,0.00000434601,0.000003154191,0.0002838584,0.000002636601,0.000825756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563465,"threshold_uncertainty_score":0.3108729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046575925263529,"score_gpt":0.2531667584934874,"score_spread":0.2427009992408521,"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."}}