{"id":"W3163862584","doi":"10.2139/ssrn.3140589","title":"Employment Standards for Mobile Workers","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Université du Québec à Montréal","funders":"","keywords":"Business; Labour economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00405471,0.0001735892,0.0002401343,0.002290166,0.0017987,0.002361219,0.0009280616,0.0008949779,0.008236721],"category_scores_gemma":[0.01708951,0.0001566758,0.000400056,0.001924082,0.000480715,0.001108965,0.002395406,0.000832133,0.001559556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240473,"about_ca_system_score_gemma":0.002622471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975231,"about_ca_topic_score_gemma":0.02825638,"domain_scores_codex":[0.9961421,0.0007554908,0.0003311192,0.0002921498,0.001564412,0.0009148189],"domain_scores_gemma":[0.9900276,0.002276347,0.001565774,0.0006197608,0.004132452,0.00137798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007957314,0.0009039441,0.7256583,0.0002052633,0.00007538329,0.0002632438,0.01747622,0.002382398,0.001426448,0.03310675,0.0198521,0.1978542],"study_design_scores_gemma":[0.00002881951,0.0006237954,0.9643763,0.000167154,0.00002147206,0.000105142,0.01278695,0.0008520745,0.0005232729,0.004086916,0.01640332,0.00002480689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8972775,0.0008647935,0.0008449338,0.002679594,0.0002015331,0.00008146245,0.001378885,0.00004332573,0.09662798],"genre_scores_gemma":[0.9911683,0.0001246133,0.000260457,0.0001226671,0.00003989334,0.00005839772,0.0004303734,0.000008294081,0.007787006],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01975231,"threshold_uncertainty_score":0.03927469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455857772270953,"score_gpt":0.3413444540318032,"score_spread":0.3267858763090937,"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."}}