{"id":"W2269263368","doi":"10.1007/s11356-015-5856-x","title":"A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Per capita; Per capita income; Urbanization; China; Economics; Agricultural economics; Demographic economics; Socioeconomics; Economic growth; Geography; Population; Demography; Environmental health; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042378,0.0001649468,0.0002049341,0.000245905,0.0004461638,0.00005285701,0.000490658,0.00004703959,0.0005776011],"category_scores_gemma":[0.0003911837,0.0001414718,0.0000261831,0.0005595375,0.001962394,0.0005440841,0.001177167,0.0002991501,0.0001792053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813373,"about_ca_system_score_gemma":0.00006810235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005534787,"about_ca_topic_score_gemma":0.0003553313,"domain_scores_codex":[0.9959747,0.0002867471,0.0003168946,0.0006179574,0.002026452,0.0007772679],"domain_scores_gemma":[0.9986548,0.00005008472,0.00004942631,0.0004261876,0.000007651101,0.0008118364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051767,0.001444238,0.9262931,0.000003092067,0.000002682984,0.00001477572,0.0075415,0.002094537,0.0596253,0.00001074834,0.000734037,0.002130792],"study_design_scores_gemma":[0.001087496,0.000903375,0.9744092,0.000005438749,0.000003001233,0.000006713306,0.01560508,0.0005141206,0.005357107,0.000131647,0.001807903,0.0001688833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972253,0.0000446206,0.000009808589,0.0004645872,0.00004594769,0.001107058,0.00004134439,0.00001196163,0.00104933],"genre_scores_gemma":[0.9993633,0.0000178395,0.00006524178,0.00007521027,0.00001346065,0.00005164428,0.00000274619,0.00001066042,0.0003999133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05426819,"threshold_uncertainty_score":0.836698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240479880926757,"score_gpt":0.3283238119101371,"score_spread":0.2859190131008695,"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."}}