{"id":"W3028154812","doi":"10.1080/23800127.2020.1764255","title":"Routes and roots: factors that drive labour mobility in Newfoundland and Labrador, Canada","year":2020,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Spouse; Salary; Work (physics); Geography; Demographic economics; Capital (architecture); Capital city; Labour economics; Economic geography; Sociology; Political science; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005456161,0.0002864073,0.0003416129,0.002077038,0.007124278,0.004302676,0.001768798,0.0005203027,0.005836543],"category_scores_gemma":[0.002831533,0.0002996458,0.0004122242,0.004441288,0.002319006,0.0009760774,0.002537559,0.0009053918,0.0005242307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0421189,"about_ca_system_score_gemma":0.0496001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974852,"about_ca_topic_score_gemma":0.9993948,"domain_scores_codex":[0.9990131,0.00009610639,0.00004646869,0.0001193373,0.0002434899,0.0004815343],"domain_scores_gemma":[0.9980247,0.0002165886,0.000355758,0.00006385323,0.0007538318,0.0005853193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001343803,0.0001375088,0.907646,0.0001406868,0.00005839694,0.0009450984,0.03666091,0.0007614864,0.0004793266,0.004002297,0.008399617,0.04063417],"study_design_scores_gemma":[0.000007798312,0.00002748653,0.8760213,0.0002417229,0.00002623803,0.0001385999,0.1065279,0.0004406649,0.0001135775,0.0001999898,0.0162102,0.00004444856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782413,0.0009266143,0.0001977278,0.001355982,0.0000270774,0.00007168249,0.001455285,0.00001772136,0.01770668],"genre_scores_gemma":[0.9875754,0.0009179694,0.0003766934,0.0001424041,0.000005867939,0.00003129414,0.0006434363,0.00001511946,0.01029185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0421189,"threshold_uncertainty_score":0.3055955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820074060172855,"score_gpt":0.2340256045020646,"score_spread":0.215824863900336,"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."}}