{"id":"W2233254449","doi":"","title":"Success stories? Filipina migrant domestic workers in Canada","year":2005,"lang":"en","type":"book-chapter","venue":"ANU Open Research (Australian National University)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Migrant workers; Demographic economics; Gender studies; Business; Sociology; Economic growth; Economics","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":[0.001077777,0.0004294198,0.0003965805,0.00141069,0.03588014,0.01202828,0.001698604,0.002358681,0.01107546],"category_scores_gemma":[0.002957335,0.0002938935,0.0002163608,0.004560568,0.005267772,0.00376419,0.004057195,0.004081964,0.0008596396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06149189,"about_ca_system_score_gemma":0.08962926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859353,"about_ca_topic_score_gemma":0.9947037,"domain_scores_codex":[0.9986818,0.0001418444,0.00001993344,0.00006109996,0.0002481873,0.0008470424],"domain_scores_gemma":[0.9977759,0.0002748344,0.0001618179,0.00004777966,0.0005963434,0.001143386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007193923,0.00008636306,0.02330253,0.00016161,0.00002304037,0.0017143,0.5925653,0.0001570678,0.000167035,0.07363296,0.2432494,0.06486848],"study_design_scores_gemma":[0.000005534964,0.00001251064,0.01869533,0.0002510223,0.00001369517,0.0002212138,0.6709971,0.00006883821,0.00009460011,0.001452697,0.3081557,0.00003181606],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4995895,0.02123171,0.0001875459,0.126654,0.001171742,0.00006317275,0.001317837,0.00007244504,0.3497121],"genre_scores_gemma":[0.8632483,0.01210187,0.00011628,0.004744478,0.0001413292,0.00003469601,0.0002923809,0.00006535264,0.1192554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06149189,"threshold_uncertainty_score":0.446157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084600931424266,"score_gpt":0.376358017775791,"score_spread":0.2678979246333645,"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."}}