{"id":"W3124459129","doi":"","title":"The Effect of Match Quality and Specific Experience on Career Decisions and Wage Growth","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Matching (statistics); Wage growth; Wage; Quality (philosophy); Labour economics; Economics; Demographic economics; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002957544,0.0002339154,0.0004203235,0.0005952601,0.0005042821,0.001593732,0.0005623407,0.0007926497,0.007384229],"category_scores_gemma":[0.01919099,0.0002253897,0.0004122519,0.0007622198,0.0007229724,0.001187398,0.00151862,0.001017904,0.0007021085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617234,"about_ca_system_score_gemma":0.0005838589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784672,"about_ca_topic_score_gemma":0.006346708,"domain_scores_codex":[0.9991024,0.0003862555,0.00003917685,0.0001224838,0.0001042622,0.0002455716],"domain_scores_gemma":[0.9771713,0.0150575,0.004170436,0.0009181543,0.0004221447,0.002260548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006699584,0.0006000805,0.9543126,0.00004069473,0.0001145588,0.0002109189,0.0004341196,0.01502218,0.001276239,0.004421656,0.0004471147,0.02244995],"study_design_scores_gemma":[0.00006945001,0.0005411246,0.9332341,0.00003944016,0.0001038664,0.0001733088,0.0008936552,0.05339884,0.001035704,0.009487799,0.0009908818,0.00003169952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947372,0.0001565493,0.00276598,0.0002881976,0.000006783824,0.00001271286,0.0001604502,0.00001109459,0.001861064],"genre_scores_gemma":[0.9982288,0.00008298763,0.0004687916,0.00002349845,0.00001193588,0.000006659965,0.0001701153,0.000005536712,0.001001684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007384229,"threshold_uncertainty_score":0.02470273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07457376914741229,"score_gpt":0.3388658552811153,"score_spread":0.264292086133703,"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."}}