{"id":"W7026400086","doi":"","title":"Access to Justice for Migrant Workers: Evaluating Legislative Effectiveness in Canada","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Operationalization; Statute; Economic Justice; Legislative history; Core (optical fiber); Best practice","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":[0.05526908,0.0006425606,0.001298404,0.006330847,0.02461277,0.007940086,0.005001985,0.002824495,0.003137276],"category_scores_gemma":[0.184161,0.0007746429,0.001040858,0.008681716,0.007819846,0.00279577,0.006253945,0.003749225,0.0003091134],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.204361,"about_ca_system_score_gemma":0.4009105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897671,"about_ca_topic_score_gemma":0.9955264,"domain_scores_codex":[0.9215637,0.01928291,0.002835167,0.002711527,0.03787134,0.01573545],"domain_scores_gemma":[0.8021057,0.0739298,0.01498098,0.00522085,0.08531216,0.01845045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0029058,0.003537586,0.5845608,0.00214474,0.0008719874,0.0006191767,0.08294647,0.008928268,0.001596737,0.03219213,0.03048952,0.2492067],"study_design_scores_gemma":[0.0008405517,0.003074952,0.8019524,0.00154498,0.001766849,0.0001432141,0.0992063,0.006350937,0.003010485,0.001840455,0.07987348,0.0003954186],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186773,0.003026929,0.001043531,0.01184984,0.0002051744,0.001906363,0.001170681,0.0001127541,0.06200758],"genre_scores_gemma":[0.9867827,0.001920959,0.001756239,0.002541576,0.00006684569,0.0008432984,0.0004927799,0.00002911396,0.005566523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204361,"threshold_uncertainty_score":0.9228284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149199542874736,"score_gpt":0.3585104781027083,"score_spread":0.3170184826739609,"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."}}