{"id":"W1569776666","doi":"10.15353/rea.v3i1.1376","title":"Human Capital and Regional Growth in Switzerland","year":2011,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Human capital; Geography; Political science; Regional science; Development economics; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373756,0.00005498525,0.0003033193,0.0001696232,0.00005514327,0.000005604368,0.0001110343,0.00002809592,0.0006887778],"category_scores_gemma":[0.00001924211,0.00005045945,0.0001245824,0.0002126505,0.0001275162,0.00009366123,0.00001625633,0.00002897368,0.00002258766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004432259,"about_ca_system_score_gemma":0.00007222499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064152,"about_ca_topic_score_gemma":0.005496798,"domain_scores_codex":[0.9993855,0.00006514584,0.0002717666,0.0001202796,0.00005499908,0.0001023446],"domain_scores_gemma":[0.9997068,0.0000241986,0.0001319123,0.00006602002,0.0000188607,0.00005220038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002022328,0.00002257283,0.5656206,0.0002945256,0.0003347881,0.000001431822,0.004576073,3.77812e-7,9.859524e-7,0.4265722,0.001472166,0.001102293],"study_design_scores_gemma":[0.0002340265,0.0000211752,0.948925,0.0006969498,0.000579765,9.615541e-7,0.0006367705,0.00001001229,0.000005511341,0.02749914,0.02109725,0.0002935013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787665,0.02076475,0.000003545107,0.001281648,0.00002186736,0.0001373206,0.000002950628,0.00000676443,0.0990146],"genre_scores_gemma":[0.9122969,0.08661243,0.0000976785,0.0002430442,0.00003934,0.00000519079,0.000007011363,0.000002453646,0.000695941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399073,"threshold_uncertainty_score":0.9959467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666177936177959,"score_gpt":0.3253323302554701,"score_spread":0.2686705508936906,"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."}}