{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457621,0.0003124633,0.0002546505,0.0007796387,0.001146668,0.002731841,0.0003634379,0.0007816692,0.0148088],"category_scores_gemma":[0.0007372076,0.0001163093,0.0002599258,0.003822881,0.0009233166,0.001405815,0.001033997,0.001048838,0.00127518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004473684,"about_ca_system_score_gemma":0.003932549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3102614,"about_ca_topic_score_gemma":0.4159991,"domain_scores_codex":[0.9996933,0.00005716923,0.00001000415,0.00003703577,0.000105455,0.00009702497],"domain_scores_gemma":[0.9997489,0.00003395329,0.00003767556,0.00001536147,0.0001088677,0.00005536322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007157178,0.00009859927,0.05266878,0.0009057954,0.0002402842,0.0003978932,0.001421102,0.00710037,0.0005638312,0.4722484,0.2502086,0.2140747],"study_design_scores_gemma":[0.000006222251,0.00002556242,0.053448,0.0005170492,0.00004770494,0.0001625521,0.002799093,0.001557587,0.0001743098,0.06545631,0.8757615,0.00004409269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05808304,0.1109064,0.003141267,0.08985666,0.001587896,0.00007736541,0.01317438,0.0001623852,0.7230105],"genre_scores_gemma":[0.7710751,0.1275033,0.001932328,0.006493397,0.0005959508,0.00007561884,0.00519807,0.00006599606,0.08706024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6897386,"threshold_uncertainty_score":0.6169109,"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."}}