{"id":"W4412847053","doi":"10.1080/08865655.2025.2539111","title":"Beyond Economic Incentives: Role of Personal Networks in Employing Cross-Border Commuters","year":2025,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grantová Agentura, Univerzita Karlova","keywords":"Incentive; Economic geography; Business; Economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008134896,0.00008362954,0.0003248435,0.0001827899,0.0002349965,0.00004750698,0.000145707,0.00005925963,0.00004769084],"category_scores_gemma":[0.0001390376,0.00007297194,0.00009385894,0.0002310404,0.0002831286,0.000207742,0.00004866147,0.0001885346,4.539212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719772,"about_ca_system_score_gemma":0.0002373623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002595049,"about_ca_topic_score_gemma":0.0190351,"domain_scores_codex":[0.9990118,0.0001156841,0.0004697795,0.00007812909,0.0001499354,0.0001746579],"domain_scores_gemma":[0.9991148,0.0002329826,0.0003140378,0.00005360605,0.0002503248,0.00003423266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001556445,0.0001161456,0.8286424,0.00003302194,0.0003488974,0.000005007104,0.1403719,0.00761969,0.00002283386,0.01195154,0.001665943,0.009066976],"study_design_scores_gemma":[0.004745,0.0003230751,0.2495688,0.0007786674,0.0001551014,0.000005174222,0.618318,0.01577121,0.00004322173,0.008217341,0.1015623,0.0005120771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829376,0.007746487,0.0001601891,0.001162992,0.0004761918,0.00007190764,0.000005099982,0.000005366594,0.007434113],"genre_scores_gemma":[0.9932618,0.005590627,0.0001357907,0.0001533108,0.0001035833,0.000001720818,7.957058e-7,0.000004011453,0.0007484166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5790735,"threshold_uncertainty_score":0.9988649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212757771288906,"score_gpt":0.3811694413450794,"score_spread":0.3690418636321903,"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."}}