{"id":"W3156310481","doi":"10.3390/world2020012","title":"Global Future: Low-Carbon Economy or High-Carbon Economy?","year":2021,"lang":"en","type":"article","venue":"World","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthropocene; Context (archaeology); Pandemic; Natural resource economics; Agency (philosophy); China; Low-carbon economy; Production (economics); Business; Economy; Economics; Political science; Coronavirus disease 2019 (COVID-19); Geography; Sociology; Ecology; Social science; Biology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003525564,0.0004443791,0.0008613555,0.0002444121,0.0001033851,0.000186764,0.0004956476,0.0002012318,0.003432126],"category_scores_gemma":[0.00003633303,0.0005533801,0.0002418705,0.0004863596,0.0001060269,0.000311756,0.0002674481,0.0002392746,0.00102571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100096,"about_ca_system_score_gemma":0.00009817538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003007076,"about_ca_topic_score_gemma":0.001972185,"domain_scores_codex":[0.9968079,0.00003544683,0.001126685,0.001261894,0.00003138277,0.0007366828],"domain_scores_gemma":[0.9979232,0.00006196731,0.0005788883,0.001141977,0.00001834797,0.0002755988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006258966,0.0002880945,0.1553976,0.00007711507,0.0003168057,0.0001030047,0.00006521516,0.001206316,0.00001222861,0.8363602,0.004859416,0.001251414],"study_design_scores_gemma":[0.002098079,0.00006502638,0.05474623,0.0000291043,0.00003086812,0.00002806369,0.00009022652,0.002967668,0.0005939742,0.1129754,0.8251631,0.001212264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3613141,0.002393041,0.00008293345,0.004023762,0.002053365,0.0002189411,0.0001255138,0.0001169475,0.6296714],"genre_scores_gemma":[0.9770852,0.0003045347,0.0008079082,0.002760326,0.001548863,0.00009049538,0.00008345451,0.00008705136,0.01723222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8203037,"threshold_uncertainty_score":0.9997521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123863164772415,"score_gpt":0.1887651803206983,"score_spread":0.1763788638434568,"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."}}