{"id":"W2799305943","doi":"10.25336/csp29368","title":"Energy, resource consumption, and climate change","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University","funders":"","keywords":"Geography; Climate change; Population; Greenhouse gas; Political science; Forestry; Demography; Ecology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008170981,0.00007424254,0.00007673277,0.0000123999,0.0001682381,0.00000565018,0.0000411187,0.00003878468,0.0001091272],"category_scores_gemma":[0.000008302201,0.0000757911,0.000007898773,0.00008540225,0.0003466629,0.0001014606,0.00007494076,0.00003043921,0.00003535296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833738,"about_ca_system_score_gemma":0.000001179361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0783128,"about_ca_topic_score_gemma":0.4962659,"domain_scores_codex":[0.9994243,0.00001920598,0.000103597,0.0001695333,0.00006706261,0.0002163297],"domain_scores_gemma":[0.9997772,0.000008907233,0.00002832562,0.00008804397,0.000001526125,0.00009597569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002655607,0.000002509418,0.9738683,0.000002821433,0.000002600574,0.000003320483,0.0006626691,0.00008337784,0.000002334554,0.000388299,0.0003979323,0.02458318],"study_design_scores_gemma":[0.00009478603,0.00002036722,0.9809513,0.00001350258,0.000004509079,0.000004291951,0.0003251481,0.002580274,9.38278e-7,0.000354554,0.01555244,0.00009786516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957616,0.0003749373,0.00004004449,0.0001752832,0.0001115369,0.0000861306,0.000002946756,0.00001178832,0.003435724],"genre_scores_gemma":[0.9978596,0.000496465,0.0006365918,0.0007733158,0.00005942263,0.0000165444,0.000006638288,0.000007750283,0.0001436544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179531,"threshold_uncertainty_score":0.9278248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258082033585586,"score_gpt":0.2584716396798857,"score_spread":0.2258908193440298,"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."}}