{"id":"W1640645360","doi":"","title":"Sustainable growth: The extraction-saving relationship","year":2008,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Non-renewable resource; Sustainability; Per capita; Economics; Extraction (chemistry); Consumption (sociology); Resource (disambiguation); Path (computing); Sustainable development; Sustainable growth rate; Growth model; Resource consumption; Natural resource; Natural resource economics; Econometrics; Microeconomics; Environmental economics; Computer science; Ecology; Biology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004426284,0.0003213014,0.0002949099,0.0005265832,0.0004245286,0.001130703,0.0003952427,0.0008512938,0.008656383],"category_scores_gemma":[0.002739366,0.0001510064,0.0003548886,0.001025544,0.001609651,0.00330176,0.001068915,0.0009532683,0.0004711939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000762263,"about_ca_system_score_gemma":0.0004319878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177582,"about_ca_topic_score_gemma":0.0008639622,"domain_scores_codex":[0.9998473,0.00003412105,0.000006689327,0.00003996271,0.00003636152,0.00003554388],"domain_scores_gemma":[0.9992794,0.0004200932,0.0001101505,0.00007414131,0.00007034107,0.00004581679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002645466,0.00001231748,0.001171099,0.00005658615,0.00001273188,0.0001032683,0.0000884141,0.03493525,0.0009218646,0.9482492,0.0008569858,0.01356583],"study_design_scores_gemma":[0.000006494397,0.00001488239,0.0008023619,0.00001472124,0.00000653882,0.0001116151,0.00006183576,0.02467802,0.0005592128,0.9703134,0.003423794,0.000007035726],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3520469,0.003122027,0.4135887,0.01511365,0.0001213174,0.00005556433,0.0008807881,0.0003542243,0.2147168],"genre_scores_gemma":[0.9859669,0.001050891,0.004172133,0.0001826296,0.00003017801,0.00002322284,0.00008935441,0.00003414429,0.008450513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008656383,"threshold_uncertainty_score":0.0289585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468180387156152,"score_gpt":0.2217255024495608,"score_spread":0.2070436985779993,"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."}}