{"id":"W7106178043","doi":"10.14457/tu.the.2024.1201","title":"Vertical and horizontal mismatches in Thailand and the wage penalty","year":2024,"lang":"","type":"dataset","venue":"NRCT Data Center","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfactual thinking; Quarter (Canadian coin); Wage; Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Welfare","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003652916,0.001438854,0.001677296,0.0004422732,0.0002833732,0.002026561,0.003152746,0.0007417165,0.0009156211],"category_scores_gemma":[0.0007226953,0.000834311,0.0001434673,0.0004856087,0.002836093,0.001258176,0.01245407,0.003221795,0.01560006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110838,"about_ca_system_score_gemma":0.0002412302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117679,"about_ca_topic_score_gemma":0.01065683,"domain_scores_codex":[0.9916574,0.001113278,0.001386112,0.003167607,0.001203126,0.001472428],"domain_scores_gemma":[0.9930747,0.0009437168,0.0001792947,0.005197818,0.00004919105,0.0005552837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003242285,0.000473224,0.003070673,0.001071925,0.0005623295,0.001403322,0.0004985015,4.206987e-8,0.0000299545,0.00004038018,0.9888046,0.0008027805],"study_design_scores_gemma":[0.01023775,0.0001583063,0.002962761,0.001800342,0.001244764,0.001081202,0.000577207,0.001541617,0.00001013382,0.00009184102,0.9792771,0.001017033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02335651,0.009840348,0.000001569563,0.001811186,0.001221718,0.001576025,0.9620053,0.00004481812,0.0001424999],"genre_scores_gemma":[0.03034323,0.007939923,0.00003121394,0.0004330581,0.0006607444,0.00005445431,0.9602153,0.0002423869,0.00007973588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01468444,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302205065531306,"score_gpt":0.2872893875828277,"score_spread":0.2570688810296971,"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."}}