{"id":"W4405641810","doi":"10.1177/00218863241305182","title":"Mobility Spaces: Geographical and Professional Distances in Career Mobility","year":2024,"lang":"en","type":"article","venue":"The Journal of Applied Behavioral Science","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic geography; Occupational mobility; Sociology; Psychology; Regional science; Geography; Demographic economics; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005493923,0.00008870245,0.0001541822,0.0001209778,0.0007201023,0.0001666336,0.0004096978,0.00004237378,0.00003212767],"category_scores_gemma":[0.00004323549,0.00005034408,0.00004237216,0.000936669,0.002757931,0.0003856,0.00008300885,0.0003116044,0.000001258407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047971,"about_ca_system_score_gemma":0.0004018495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003430982,"about_ca_topic_score_gemma":0.01464587,"domain_scores_codex":[0.9982914,0.00009179155,0.0002823038,0.0001832801,0.0008732635,0.0002779166],"domain_scores_gemma":[0.9993922,0.000156023,0.00009874286,0.0001089398,0.0001271709,0.0001169923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001698065,0.000578595,0.1493661,0.00004946836,0.00001207393,0.0000183414,0.7946456,0.00004253735,0.003386249,0.03606448,0.0007116707,0.01495507],"study_design_scores_gemma":[0.0002671519,0.0001292554,0.927531,0.0001247144,0.00007661696,0.000007962672,0.03584929,0.00008387501,0.0003414518,0.02964639,0.00570656,0.000235751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968727,0.001013325,0.00003300265,0.0009276019,0.0004030098,0.0002012301,0.000002803625,0.00001536536,0.0005309794],"genre_scores_gemma":[0.999395,0.0002812601,0.0001081265,0.00002358637,0.0001236364,0.000007005201,1.196687e-7,0.000002749742,0.00005855258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7781649,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288156537409535,"score_gpt":0.344863927570234,"score_spread":0.3160482738292805,"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."}}