{"id":"W4295074143","doi":"10.1215/00703370-10191592","title":"Who Matters Most? Migrant Networks, Tie Strength, and First Rural–Urban Migration to Dakar","year":2022,"lang":"en","type":"article","venue":"Demography","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of General Medical Sciences","keywords":"Social capital; Interpersonal ties; Demographic economics; Causation; Hazard; Geography; Social network (sociolinguistics); Social mobility; Demography; Sociology; Political science; Economics; Psychology; Social psychology","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":[0.0007857804,0.0001386223,0.0001902458,0.0005468425,0.0005432356,0.00102038,0.0002579039,0.0004203101,0.002117115],"category_scores_gemma":[0.005455926,0.0001260722,0.0001661021,0.0008205566,0.0006444403,0.0008710196,0.0006187261,0.0004996691,0.0002168323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635273,"about_ca_system_score_gemma":0.000287358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00642304,"about_ca_topic_score_gemma":0.01092095,"domain_scores_codex":[0.9996661,0.0001568002,0.00001652429,0.00005355257,0.00002663945,0.00008026216],"domain_scores_gemma":[0.9975433,0.0008840314,0.001035105,0.00006969341,0.00006125229,0.0004067231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005603667,0.00004171999,0.9878595,0.00002550825,0.00005872722,0.0001198161,0.002426142,0.0002016682,0.0001196556,0.0006492208,0.0001266714,0.008315159],"study_design_scores_gemma":[0.000002651778,0.00004557295,0.9910496,0.00003983428,0.00004460003,0.0002196799,0.00677054,0.0004905786,0.00007580465,0.0005650571,0.0006901826,0.000005867002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982752,0.0002775738,0.00006088544,0.0004607532,0.00000483938,0.000002321767,0.000033147,0.000001194504,0.0008841135],"genre_scores_gemma":[0.9996424,0.0001302268,0.00002640274,0.00001883616,0.000005509501,0.000001308087,0.00001509453,5.477989e-7,0.0001597797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00642304,"threshold_uncertainty_score":0.01277131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005368019977645692,"score_gpt":0.2244762882279812,"score_spread":0.2191082682503356,"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."}}