{"id":"W2569775298","doi":"","title":"The Causal Relationship between GDP, Energy Consumption and CO2 Emissions in Hong Kong","year":2014,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Consumption (sociology); Energy consumption; Natural resource economics; Environmental science; Monetary economics; Agricultural economics; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003267734,0.0001596813,0.000228528,0.00008596097,0.0003271154,0.00002953919,0.0001272367,0.00006827398,0.0002256812],"category_scores_gemma":[0.00006458656,0.0001331519,0.00004803224,0.0001406434,0.0001382239,0.0001090235,0.000009209688,0.0001390439,0.0000388716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001552356,"about_ca_system_score_gemma":0.00006611851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2027087,"about_ca_topic_score_gemma":0.7691803,"domain_scores_codex":[0.9987277,0.000209275,0.0003886389,0.0002235399,0.0001243869,0.0003264152],"domain_scores_gemma":[0.9988775,0.0003612006,0.00009117908,0.0002843867,0.000008962047,0.0003767471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000158195,0.000006374718,0.9074519,0.0001805897,0.00002691669,0.000005942042,0.0000799395,0.0001144047,0.000005523485,0.05952716,0.005567367,0.02703229],"study_design_scores_gemma":[0.0001560328,0.000009770977,0.5159848,0.0004455756,0.00005275818,0.000002442604,0.00003067359,0.00001663792,0.00001026426,0.0008809553,0.4822808,0.000129317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.745922,0.206179,0.0002550066,0.02461554,0.0004841778,0.0008706416,0.0002668104,0.0001084263,0.02129833],"genre_scores_gemma":[0.9448881,0.050594,0.00004303756,0.003208296,0.00007960518,0.00005675352,0.0002777867,0.00002165714,0.0008307438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5664716,"threshold_uncertainty_score":0.8026005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237215789506889,"score_gpt":0.2601067791371901,"score_spread":0.2277346212421212,"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."}}