{"id":"W4307742161","doi":"10.1007/s11116-022-10341-5","title":"Age and domestic migration effects on workers’ commuting distance","year":2022,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Census; Residence; Geography; Journey to work; Demographic economics; Demography; Work (physics); Duration (music); Rural area; Migrant workers; Socioeconomics; Population; Sociology; Economic growth; Transport engineering; Medicine; Economics; Public transport; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001035289,0.000417943,0.0004802718,0.0007556569,0.0008956677,0.001468743,0.0005643656,0.0009335441,0.01227721],"category_scores_gemma":[0.005022732,0.0003569836,0.001914605,0.001027383,0.0005843916,0.001073725,0.001376727,0.0008922768,0.001005696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643878,"about_ca_system_score_gemma":0.00100944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04048086,"about_ca_topic_score_gemma":0.04528883,"domain_scores_codex":[0.9991789,0.0002734573,0.00006724105,0.0001193673,0.00004531699,0.0003156188],"domain_scores_gemma":[0.9947506,0.002143336,0.0008611471,0.0003349118,0.000377723,0.001532396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008870121,0.0003400788,0.9914767,0.00002561469,0.0001729748,0.0002841708,0.001522111,0.000257063,0.0003037438,0.000382175,0.0002306364,0.004117793],"study_design_scores_gemma":[0.000009305007,0.0001818137,0.9956846,0.00002093511,0.0001464417,0.00009876467,0.002787782,0.0002466804,0.00008831292,0.0001400526,0.0005859163,0.000009446368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977326,0.0004322743,0.00005212463,0.0001578476,0.00001987359,0.000002854973,0.0001886678,0.000003748652,0.001409939],"genre_scores_gemma":[0.9979284,0.0001366378,0.00002997741,0.00001990152,0.00001533765,0.000003657566,0.00009080253,0.000003901603,0.001771433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04048086,"threshold_uncertainty_score":0.08049047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439690010470404,"score_gpt":0.2870750267712249,"score_spread":0.2726781266665209,"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."}}