{"id":"W2202700775","doi":"10.13140/rg.2.1.3446.4240","title":"Schumpeter School International Comparative Institutions Database","year":2016,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comparative research; Inequality; Database; Panel data; Political science; Comparative advantage; Geography; Economics; International trade; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002696423,0.0006352584,0.001087359,0.01423471,0.0008428985,0.002753446,0.001692823,0.0008831544,0.2014703],"category_scores_gemma":[0.01732575,0.0004991576,0.0005120068,0.02707728,0.000259776,0.002760606,0.002221745,0.001540765,0.1027295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758409,"about_ca_system_score_gemma":0.005110918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317516,"about_ca_topic_score_gemma":0.01246697,"domain_scores_codex":[0.9972268,0.0005397705,0.0005640666,0.0004898731,0.000862124,0.0003173659],"domain_scores_gemma":[0.9893209,0.002512532,0.001639186,0.002229841,0.003551119,0.0007464612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006118054,0.00002262785,0.001793212,0.0003397158,0.00001796807,0.0000344183,0.00008387949,0.0002566154,0.00005119618,0.01626491,0.9613459,0.01972844],"study_design_scores_gemma":[0.00002515843,0.000006232048,0.003254391,0.0001280082,0.000009110813,0.0000290346,0.00006982017,0.0001499844,0.00009094151,0.002852554,0.9933712,0.00001350718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007305032,0.0002582537,0.00122825,0.0003374173,0.00007909806,0.0001337812,0.9696438,0.0005313277,0.02705754],"genre_scores_gemma":[0.003840342,0.0005350509,0.003835926,0.0001597046,0.00007161305,0.0008134018,0.9744552,0.0003748263,0.01591387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2014703,"threshold_uncertainty_score":0.6739852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0910414558404703,"score_gpt":0.3702512532025077,"score_spread":0.2792097973620374,"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."}}