{"id":"W2967790769","doi":"10.1177/1048291119867750","title":"Travel Time as Work Time? Nature and Scope of Canadian Labor Law’s Protections for Mobile Workers","year":2019,"lang":"en","type":"article","venue":"NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Legislation; Scope (computer science); Work (physics); Travel time; Representation (politics); Working time; Labour law; Demographic economics; Labour economics; Political science; Law; Economics; Transport engineering; Engineering; Politics; Computer science","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":[0.0003893187,0.0001318038,0.0002975701,0.0003966439,0.001029805,0.000005812758,0.00007012436,0.0001573063,0.0005240507],"category_scores_gemma":[0.00003591318,0.0001138873,0.00006677722,0.0002318472,0.0001228439,0.0001397735,0.00004878973,0.0003896751,0.00006796542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181985,"about_ca_system_score_gemma":0.001392554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353294,"about_ca_topic_score_gemma":0.004541984,"domain_scores_codex":[0.9985992,0.0001088924,0.0005331069,0.0001398144,0.0001863983,0.0004326064],"domain_scores_gemma":[0.9988647,0.0002066617,0.0003813175,0.00008700883,0.00004698389,0.0004133898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003817769,0.001139905,0.5286672,0.001466402,0.001147589,0.000006121495,0.01838414,0.0003415552,0.003756104,0.0994204,0.2875572,0.05429567],"study_design_scores_gemma":[0.002003826,0.001077105,0.8454993,0.0004203836,0.00003508517,0.00001618515,0.001193153,0.00001350844,0.00001069495,0.001445091,0.1481216,0.0001641047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940114,0.008593909,0.00004234871,0.04129175,0.0003528205,0.003190029,0.001327508,0.00001274548,0.005074842],"genre_scores_gemma":[0.9835868,0.001645093,0.001172727,0.00418282,0.0006437342,0.00008494745,0.0000516225,0.00002602048,0.008606249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3168321,"threshold_uncertainty_score":0.9729028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481202562122889,"score_gpt":0.3706556858387732,"score_spread":0.3458436602175443,"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."}}