{"id":"W2150985333","doi":"","title":"Switching to a Sustainable Efficient Extraction Path","year":2007,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Non-renewable resource; Path (computing); Consumption (sociology); Constant (computer programming); Resource (disambiguation); Benchmark (surveying); Economics; Per capita; Mathematical optimization; Investment (military); Mathematics; Econometrics; Computer science; Population; Engineering","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":[0.0007387967,0.0003527387,0.0003757628,0.0005669427,0.0006099135,0.00168681,0.00064741,0.001013911,0.009667568],"category_scores_gemma":[0.004417357,0.0002666939,0.0008310601,0.0008500217,0.001190818,0.001757064,0.0009105612,0.001151469,0.0006280279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567514,"about_ca_system_score_gemma":0.001578214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504146,"about_ca_topic_score_gemma":0.001809394,"domain_scores_codex":[0.999595,0.00007513742,0.00002030246,0.0001021858,0.00008721033,0.0001202155],"domain_scores_gemma":[0.9992312,0.0002267371,0.0001613124,0.0001976742,0.0001108256,0.00007230529],"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":[0.000156956,0.0001115619,0.007603884,0.0001328308,0.00009005841,0.000377831,0.0004628545,0.2274501,0.007358985,0.6914113,0.002723385,0.06212018],"study_design_scores_gemma":[0.00009192954,0.0002344154,0.01007325,0.0001060814,0.00008035047,0.0004533301,0.0007643526,0.388862,0.01186809,0.5709397,0.01645597,0.00007059521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7707074,0.000220228,0.1574387,0.001191302,0.00005128654,0.0001429313,0.0006366266,0.0002750836,0.06933641],"genre_scores_gemma":[0.9726911,0.0002663353,0.01957364,0.000100164,0.00000584688,0.00006400317,0.0002006362,0.00005943372,0.007038914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009667568,"threshold_uncertainty_score":0.03234124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155585912524438,"score_gpt":0.257572146441823,"score_spread":0.2420135551893792,"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."}}