{"id":"W7028445287","doi":"","title":"Flawed by Design?: A Case Study of Federal Enforcement of Migrant Workers’ Labour Rights in Canada","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Government (linguistics); Work (physics); Labour law; Law enforcement; United States labor law; Migrant workers","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":[0.01532919,0.000595698,0.000666566,0.002157188,0.04780808,0.006985262,0.004517287,0.006571623,0.002577875],"category_scores_gemma":[0.03342549,0.0008027572,0.0006993855,0.0042467,0.01237928,0.00197689,0.00437464,0.007726324,0.000228945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1115201,"about_ca_system_score_gemma":0.2027871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810204,"about_ca_topic_score_gemma":0.9908124,"domain_scores_codex":[0.976456,0.006386391,0.0007982109,0.001576097,0.007834274,0.006949075],"domain_scores_gemma":[0.9767789,0.008921216,0.001911739,0.001432603,0.007958941,0.002996672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001575591,0.0006759043,0.09725825,0.0004598421,0.0001112217,0.0391224,0.6020535,0.00345501,0.002417041,0.1306105,0.03263473,0.09104413],"study_design_scores_gemma":[0.00008298888,0.0002507166,0.06665035,0.001235347,0.0002225689,0.005134102,0.6818334,0.006394657,0.002895838,0.008179512,0.226841,0.0002794671],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884644,0.001561219,0.00789516,0.03919928,0.0001971796,0.0007336086,0.0002554901,0.0001120552,0.06158157],"genre_scores_gemma":[0.9746985,0.0009489825,0.00470805,0.005209327,0.00002562746,0.0001516658,0.00006070433,0.00006131221,0.01413569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1115201,"threshold_uncertainty_score":0.8091391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189481109684097,"score_gpt":0.2205678394585932,"score_spread":0.2086730283617522,"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."}}