{"id":"W3123099370","doi":"10.2139/ssrn.1669164","title":"Castes and Labor Mobility","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Labor mobility; Labour economics; Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984993,0.0001944746,0.0003527253,0.001916563,0.002541248,0.002402994,0.000421108,0.0006155332,0.0226925],"category_scores_gemma":[0.001938155,0.0001251603,0.0002769542,0.002831136,0.002207254,0.001019102,0.002090886,0.001024546,0.000891799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490349,"about_ca_system_score_gemma":0.001253774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03594929,"about_ca_topic_score_gemma":0.06382595,"domain_scores_codex":[0.9994757,0.0001238698,0.00001468081,0.00003324841,0.00005583626,0.0002967599],"domain_scores_gemma":[0.9986838,0.000438904,0.0002924154,0.00006474704,0.00007954617,0.0004407159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003589126,0.0002368797,0.2825476,0.0001280501,0.000137444,0.0006196677,0.01559022,0.002461703,0.0002663857,0.651796,0.006795329,0.03906174],"study_design_scores_gemma":[0.00009198474,0.0002426819,0.6095601,0.0004427911,0.0001814782,0.0005131153,0.09111025,0.00266192,0.0003549382,0.201526,0.09326006,0.00005462034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675066,0.004327515,0.000447003,0.009746869,0.00008971429,0.00002129343,0.0007590264,0.00001966477,0.1170822],"genre_scores_gemma":[0.9930924,0.0005782982,0.00002869613,0.00005480194,0.00002790331,0.000004119464,0.00005126417,0.000001333705,0.006161151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03594929,"threshold_uncertainty_score":0.07591397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00734490577040876,"score_gpt":0.2592682938569794,"score_spread":0.2519233880865706,"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."}}