{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439419,0.0001670259,0.0002828488,0.00002303917,0.0002460814,0.0001003096,0.0001564275,0.00008956681,0.0001215248],"category_scores_gemma":[0.00006840329,0.0001508687,0.00002146087,0.0001726644,0.0005045404,0.0002321978,0.00004852065,0.0001667601,5.9676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685945,"about_ca_system_score_gemma":0.0003594991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9370989,"about_ca_topic_score_gemma":0.9906448,"domain_scores_codex":[0.9987061,0.00005426416,0.0002128643,0.0004318321,0.0002670811,0.0003278701],"domain_scores_gemma":[0.999258,0.000299591,0.00005328976,0.0001373448,0.00002655029,0.000225157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002195501,0.00002254308,0.9719767,0.00005858975,0.000007744796,0.000002205686,0.02131555,0.00000259413,0.00002993598,0.005946688,0.00004467473,0.0005707991],"study_design_scores_gemma":[0.0002869772,0.00001478411,0.9427105,0.000006385847,0.000007993539,4.158266e-8,0.04815076,0.000006940914,0.00008889164,0.003424467,0.005123316,0.0001789595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946683,0.0004346938,0.000007604863,0.0009971319,0.0000615686,0.0004254472,0.00006665473,0.00005542699,0.003283184],"genre_scores_gemma":[0.999219,0.00006320913,0.0000347889,0.000381958,0.00005565015,0.00003095599,0.00001023033,0.000009178145,0.0001950195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0535459,"threshold_uncertainty_score":0.6152247,"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."}}