{"id":"W4231340373","doi":"10.3138/cpp.35.3.291","title":"Resource Specialization and Economic Performance: A Canadian Case Study, 1970–2005","year":2009,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Resource (disambiguation); Production (economics); Economics; Natural resource economics; Crowding; Crowding out; Business; Industrial organization; Macroeconomics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0008412965,0.0004584767,0.0004349838,0.003814889,0.005557812,0.001865938,0.0009630821,0.000708557,0.002420943],"category_scores_gemma":[0.002070701,0.0001982197,0.000605507,0.0127756,0.001576806,0.0006307263,0.001105633,0.000899485,0.0002346543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09477229,"about_ca_system_score_gemma":0.06239257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998214,"about_ca_topic_score_gemma":0.9991152,"domain_scores_codex":[0.9988889,0.00007281222,0.0000286044,0.00006895097,0.0003150825,0.0006257277],"domain_scores_gemma":[0.998809,0.0001276626,0.0001586145,0.00004297507,0.0005986084,0.0002632966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000664707,0.0006067901,0.7129829,0.0006841113,0.0003507714,0.008539352,0.02404037,0.03828038,0.001497618,0.04826166,0.04623633,0.1178551],"study_design_scores_gemma":[0.000049596,0.0000979938,0.9095191,0.000219384,0.0001567242,0.0007786828,0.02603214,0.005461203,0.0006215173,0.001267964,0.05566828,0.0001275041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407805,0.002997376,0.0003325407,0.002278687,0.00001720361,0.00008977742,0.007952641,0.00003116676,0.04552019],"genre_scores_gemma":[0.9890957,0.002418401,0.0005473615,0.0001547691,0.000009918675,0.00002144826,0.00218927,0.000008604757,0.005554518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09477229,"threshold_uncertainty_score":0.6876243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524838485631286,"score_gpt":0.2183011484120969,"score_spread":0.193052763555784,"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."}}