{"id":"W4365386026","doi":"10.46692/9781529218985.009","title":"Flexible Temporalities, Flexible Trajectories: Montreal’s Nursing Home Crisis as an Example of Temporary Workers’ Complicated Urban Labor Geographies","year":2021,"lang":"en","type":"other","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temporalities; Labour economics; Sociology; Nursing; Political science; Medicine; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503633,0.0004433824,0.0003143756,0.001282139,0.01621714,0.005315021,0.002220743,0.00165887,0.005891988],"category_scores_gemma":[0.00277152,0.0003107485,0.0004799656,0.002406454,0.007240454,0.002886485,0.007427673,0.004170191,0.0002934363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03692232,"about_ca_system_score_gemma":0.0215606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8906546,"about_ca_topic_score_gemma":0.9630107,"domain_scores_codex":[0.9986237,0.0003374951,0.00002253636,0.00008646819,0.0002001716,0.0007296982],"domain_scores_gemma":[0.9978967,0.0001790708,0.0002592195,0.0001051601,0.000349412,0.001210509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002704865,0.000190286,0.1388462,0.0002676469,0.0001506861,0.01287287,0.4404568,0.001544815,0.00076531,0.05935346,0.2755734,0.06970806],"study_design_scores_gemma":[0.00003477008,0.00008371932,0.1720733,0.000559954,0.0000438018,0.001538248,0.5574959,0.001226405,0.0001669102,0.01078476,0.255821,0.0001712539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7532933,0.007107403,0.001913363,0.1552944,0.001690597,0.000157568,0.002478676,0.0001497794,0.07791506],"genre_scores_gemma":[0.9855196,0.001941356,0.0005564195,0.004837645,0.0002105977,0.00003806348,0.0004456955,0.00005313174,0.006397401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093454,"threshold_uncertainty_score":0.2678915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08806176687067463,"score_gpt":0.3831319607584119,"score_spread":0.2950701938877373,"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."}}