{"id":"W4289522437","doi":"10.1007/s12061-022-09445-3","title":"The Mobility of Construction Workers in Canada: Insights from Administrative Data","year":2022,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; Western University","funders":"","keywords":"Residence; Workforce; Immigration; Economic shortage; Human geography; Citizenship; Demographic economics; Business; Geography; Economic growth; Political science; Economics; Economic geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002570556,0.0003652739,0.0006287277,0.005651332,0.004082771,0.003969942,0.0023006,0.0007859853,0.002034929],"category_scores_gemma":[0.01507845,0.0003488178,0.0005579883,0.02481215,0.001696834,0.001073193,0.002049303,0.001145363,0.0003061176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05778123,"about_ca_system_score_gemma":0.1009656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987319,"about_ca_topic_score_gemma":0.9990814,"domain_scores_codex":[0.9969021,0.0006041763,0.0002312713,0.0002802228,0.0009920995,0.0009901902],"domain_scores_gemma":[0.990433,0.002271304,0.001357479,0.0005358318,0.00465624,0.0007461926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001657843,0.0001345931,0.9114265,0.0002841572,0.0002170675,0.0002676068,0.009149713,0.01094702,0.0002134752,0.01639569,0.01565794,0.03514051],"study_design_scores_gemma":[0.00001675154,0.00001943606,0.9423261,0.0003242233,0.00007154754,0.00004726154,0.01834477,0.01168977,0.0001989501,0.00174886,0.02514496,0.00006730172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579873,0.002020245,0.001238631,0.004300393,0.00002150001,0.00009191748,0.02690036,0.00003874119,0.007400902],"genre_scores_gemma":[0.982126,0.001799301,0.001484652,0.0001789477,0.00001358458,0.00005287768,0.01165592,0.00001755087,0.002671285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05778123,"threshold_uncertainty_score":0.4192341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034952733409986,"score_gpt":0.2931586919848208,"score_spread":0.272809164650721,"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."}}