{"id":"W3022608681","doi":"","title":"Human Capital and Urbanization – The Causal Effect of High School on Moving out of Rural Area","year":2020,"lang":"en","type":"article","venue":"","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Urbanization; Human capital; Rural area; Economic growth; Geography; Economics; Development economics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.00006196252,0.00005720754,0.0001050778,0.000003955858,0.00008894832,0.000006205401,0.00005954315,0.00001858039,0.0003412955],"category_scores_gemma":[0.00005719899,0.00003387183,0.0000204191,0.00004903874,0.0001521645,0.0000383418,0.00008410755,0.00004051755,0.00002017115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205198,"about_ca_system_score_gemma":0.000001200964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009041171,"about_ca_topic_score_gemma":0.0001425664,"domain_scores_codex":[0.9996179,0.00003325559,0.00008550806,0.00006563379,0.0001326215,0.00006513236],"domain_scores_gemma":[0.9998362,0.00003906724,0.00003974433,0.00004849375,0.000003045776,0.00003343435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000378421,0.00002982103,0.9552113,0.00002763848,0.00004392763,0.000001424098,0.009497765,0.0001870367,0.02215182,0.004196548,0.007325991,0.001288906],"study_design_scores_gemma":[0.0004129018,0.0006123697,0.9872427,0.00001097945,0.00002512747,1.901246e-7,0.001377197,0.00009071489,0.0097754,0.000305421,0.00005401125,0.00009298138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918972,0.00001995587,0.00002180612,0.0002674772,0.00002389501,0.000108084,0.00000254459,0.00001066515,0.007648423],"genre_scores_gemma":[0.9995754,0.000004439334,0.000007467833,0.0001114924,0.00002517198,0.000001610688,0.00000137307,0.000003804614,0.0002692897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03203142,"threshold_uncertainty_score":0.3736946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950396907839712,"score_gpt":0.2095816894641674,"score_spread":0.2000777203857703,"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."}}