{"id":"W3144713013","doi":"","title":"Growing, Shrinking, and Long Run Economic Performance: Historical Perspectives on Economic Development","year":2017,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Economic History Society; New York University Abu Dhabi; Lunds Universitet; Appalachian State University","keywords":"Resizing; Economics; Technological change; Development economics; Macroeconomics; International economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004067791,0.000298721,0.000545504,0.000141444,0.00331542,0.0003148115,0.0004523484,0.0001333723,0.0001273618],"category_scores_gemma":[0.000178138,0.0003506935,0.0001148313,0.00002262452,0.0004565569,0.001414443,0.0003433175,0.0002595014,0.0006637622],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00635302,"about_ca_system_score_gemma":0.0002621256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032141,"about_ca_topic_score_gemma":0.0002444946,"domain_scores_codex":[0.9980003,0.00001139273,0.0007327531,0.0008136393,0.00006830288,0.0003736096],"domain_scores_gemma":[0.9986053,0.00006187936,0.0005288176,0.0005907038,0.00002939593,0.0001838644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008158931,0.0001011042,0.1628532,0.00004709735,0.0001916341,0.00003088308,0.001824582,0.0001442236,0.000004853703,0.8297231,0.003389486,0.001608293],"study_design_scores_gemma":[0.0008258435,0.00009959943,0.1415789,0.00007430341,0.00001554193,0.00002766073,0.0002588127,0.0003005575,0.0001072316,0.00102578,0.8549647,0.0007210856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908977,0.003569653,0.0005460745,0.0007463227,0.006043185,0.0002188989,0.0002055797,0.00008057173,0.07961271],"genre_scores_gemma":[0.9940346,0.000992435,0.0006381216,0.00007720825,0.00147513,0.000059972,0.00004485274,0.00002504562,0.002652572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8515753,"threshold_uncertainty_score":0.9998945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277674041546467,"score_gpt":0.2383511991460514,"score_spread":0.2055744587305867,"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."}}