{"id":"W2772795637","doi":"10.1628/001522118x15109346479939","title":"Natural Resource Extraction in a Federation","year":2017,"lang":"en","type":"article","venue":"FinanzArchiv Public Finance Analysis","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Queen's University","funders":"","keywords":"Natural resource; Extraction (chemistry); Resource (disambiguation); Computer science; Political science; Law; Chemistry; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008105541,0.0002173911,0.0006405922,0.001055594,0.0007409725,0.0006880126,0.000703374,0.0001274991,0.0001145817],"category_scores_gemma":[0.0005235616,0.0002624477,0.0003621904,0.0005449324,0.0001388307,0.001419681,0.0001408697,0.0003644664,0.0004366936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612783,"about_ca_system_score_gemma":0.00003114621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117181,"about_ca_topic_score_gemma":0.00191156,"domain_scores_codex":[0.9978479,0.00002844744,0.0008033082,0.0007112549,0.0000504114,0.0005586583],"domain_scores_gemma":[0.9979687,0.00005796616,0.0007988773,0.001088115,0.00002077108,0.00006557905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003960669,0.0001638372,0.5006019,0.00001756478,0.0002422274,0.0000144561,0.0003662209,0.0003246616,0.000017374,0.4873031,0.00277728,0.008131794],"study_design_scores_gemma":[0.0004808931,0.00002175615,0.8315206,0.000008011394,0.0000204634,0.000002379971,0.0000204643,0.04545237,0.00001740794,0.05697156,0.06518198,0.0003020843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948116,0.0006031102,0.003904445,0.01189071,0.0003297491,0.0002143196,0.0001100672,0.00005498896,0.188081],"genre_scores_gemma":[0.9955809,0.00006573819,0.0004805025,0.0003158628,0.000192457,0.00005405044,0.00009549957,0.00002002867,0.003194934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4303315,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876896210825303,"score_gpt":0.2561029705626708,"score_spread":0.2173340084544178,"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."}}