{"id":"W7084120629","doi":"10.57138/lsck1070","title":"Labor Force Participation and Wage Earnings Equation of Immigrants in Canada","year":2005,"lang":"en","type":"report","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Immigration; Wage; Efficiency wage; Work (physics)","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":[0.0007069181,0.0003741026,0.000669339,0.001240441,0.002486914,0.001463026,0.001509584,0.0008541283,0.006527958],"category_scores_gemma":[0.001733148,0.0003492238,0.0007871104,0.003030368,0.0004359926,0.000446914,0.0007703809,0.001670326,0.0006728342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01897596,"about_ca_system_score_gemma":0.03798597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969904,"about_ca_topic_score_gemma":0.9974771,"domain_scores_codex":[0.9994345,0.00003155161,0.00003136677,0.00005976587,0.000123517,0.0003192494],"domain_scores_gemma":[0.9985079,0.00009879652,0.0002144743,0.00004006469,0.0006843559,0.0004543868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002113314,0.0001812991,0.9742198,0.0000459449,0.0001145505,0.0002934819,0.001032032,0.002430952,0.0001995114,0.002741991,0.01153302,0.00699615],"study_design_scores_gemma":[0.00004883149,0.00003823956,0.9819858,0.0000755346,0.00006728112,0.00007286829,0.004926098,0.005459288,0.0001719367,0.0002704268,0.00685128,0.00003242714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755436,0.0006274508,0.0001808789,0.001541166,0.0000427716,0.00004995806,0.01811171,0.00002198959,0.003880529],"genre_scores_gemma":[0.9659255,0.0009199207,0.0002734736,0.0002306534,0.00002474572,0.00004137924,0.01241014,0.00001197451,0.02016213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01897596,"threshold_uncertainty_score":0.1376809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421934981702335,"score_gpt":0.2311423916211736,"score_spread":0.2169230418041503,"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."}}