{"id":"W2793929838","doi":"10.1007/s12076-018-0201-x","title":"Exhaustible resources flows in a spatial context","year":2018,"lang":"en","type":"article","venue":"Letters in Spatial and Resource Sciences","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Endowment; Context (archaeology); Resource (disambiguation); Economics; Production (economics); Non-renewable resource; Natural resource; Economic geography; Factors of production; Natural resource economics; Unit (ring theory); Comparative advantage; Econometrics; Microeconomics; Geography; Ecology; International trade; Computer science; Mathematics; Renewable energy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009158963,0.0001774563,0.0004334255,0.0006349374,0.0002391401,0.0001721322,0.0003770414,0.0000911276,0.0002266778],"category_scores_gemma":[0.00005008343,0.0001679135,0.00007813433,0.0005218746,0.0007896216,0.0001719158,0.0001257894,0.0001662168,0.00009150284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005393217,"about_ca_system_score_gemma":0.00001415553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04743835,"about_ca_topic_score_gemma":0.03747348,"domain_scores_codex":[0.998153,0.00003488627,0.0006361323,0.0006729254,0.00007990264,0.0004231886],"domain_scores_gemma":[0.9994178,0.00007856249,0.0002232705,0.0001810314,0.0000112716,0.00008810796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001183147,0.0001253621,0.9427242,0.00003104181,0.00002196457,0.00003309372,0.005225074,0.001538987,0.0003871466,0.02299451,0.0008880261,0.02591231],"study_design_scores_gemma":[0.003455262,0.0008906157,0.515637,0.0002200357,0.00001665773,0.00002419645,0.002156232,0.2125505,0.0004273351,0.02597667,0.2368598,0.001785692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761206,0.0005304231,0.001093423,0.01182457,0.0002066086,0.0001313851,0.00001473429,0.00001349061,0.01006479],"genre_scores_gemma":[0.9961451,0.00007382456,0.000255857,0.002929502,0.0004117151,0.00001320876,0.000002829973,0.00001016742,0.0001577845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4270872,"threshold_uncertainty_score":0.9800901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237771349317371,"score_gpt":0.2128757357899356,"score_spread":0.1890986008581985,"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."}}