{"id":"W3151889729","doi":"","title":"Rural-to-urban commuting as a mean for rural-urban interdependence?","year":2014,"lang":"en","type":"article","venue":"ERSA conference papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Urban sprawl; Closeness; Economic geography; Rural area; Urban density; Population; Urbanization; Socioeconomics; Demographic economics; Economic growth; Urban planning; Demography; Economics; Political science; Sociology","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":[0.001255787,0.0001963121,0.0004595963,0.0009075095,0.0008982928,0.002623413,0.0006746597,0.0006438344,0.008479131],"category_scores_gemma":[0.00669567,0.0001704892,0.0004457243,0.002212757,0.003913599,0.004014255,0.002210116,0.001633112,0.0005218675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007784234,"about_ca_system_score_gemma":0.000385793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359571,"about_ca_topic_score_gemma":0.002852123,"domain_scores_codex":[0.9990852,0.0003526835,0.00003032103,0.0002636212,0.0001396559,0.0001283994],"domain_scores_gemma":[0.9952278,0.002583664,0.001014886,0.0005487684,0.0002138802,0.0004109613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000348618,0.0001762172,0.4181587,0.0008947492,0.0003415151,0.0005701483,0.05349119,0.004535657,0.001569278,0.4112759,0.007975657,0.1006623],"study_design_scores_gemma":[0.00002191297,0.0001945011,0.6904874,0.0003388155,0.0001531445,0.0005174296,0.04458471,0.004571145,0.0003872768,0.2210766,0.0375774,0.00008958153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168451,0.005343477,0.02445049,0.009562316,0.0002062842,0.00004033358,0.0008031765,0.0001128183,0.04263597],"genre_scores_gemma":[0.997705,0.0004659031,0.00102155,0.0001400523,0.00005819933,0.00001770082,0.00006547715,0.00001610054,0.0005100107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008479131,"threshold_uncertainty_score":0.02836549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251932898892464,"score_gpt":0.3002947755707429,"score_spread":0.2777754465818183,"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."}}