{"id":"W7019483083","doi":"","title":"Filipino domestic workers and geographies of rights in Canada","year":2001,"lang":"en","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Human rights; Work (physics); Legislation; Agency (philosophy)","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":[0.0003851699,0.0001972554,0.0002923033,0.003334263,0.005899662,0.002261868,0.0009288737,0.000400945,0.008867079],"category_scores_gemma":[0.003354783,0.0001531992,0.0002371066,0.01006755,0.001025419,0.0007160283,0.001592204,0.0007901004,0.0003459182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02780434,"about_ca_system_score_gemma":0.04093988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981298,"about_ca_topic_score_gemma":0.9992923,"domain_scores_codex":[0.9994363,0.00003211103,0.00002201777,0.00005018124,0.00015113,0.000308251],"domain_scores_gemma":[0.9973217,0.0002835515,0.0004212139,0.00007526771,0.00125155,0.0006466968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001265812,0.00009993303,0.9137095,0.00008907576,0.00005822309,0.0003228226,0.02861332,0.0007005993,0.0002945928,0.008213149,0.01002129,0.03775091],"study_design_scores_gemma":[0.000008446068,0.00001434267,0.9232388,0.000092626,0.00002286239,0.00005770463,0.06074461,0.0005560301,0.0001469114,0.000410772,0.01467672,0.00003020664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785922,0.0006684606,0.00006310196,0.001063844,0.0000151876,0.000018493,0.003243956,0.000008388525,0.01632639],"genre_scores_gemma":[0.9903017,0.0008932093,0.00008287498,0.00007108726,0.00000446367,0.000008555951,0.0009225173,0.000006046422,0.007709582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02780434,"threshold_uncertainty_score":0.2017356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0097876395661391,"score_gpt":0.2639898312418008,"score_spread":0.2542021916756617,"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."}}