{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009740526,0.0003679807,0.0002534133,0.001325179,0.0003602823,0.001045417,0.0007025121,0.0003943624,0.00612272],"category_scores_gemma":[0.004308138,0.0002252803,0.0005101077,0.003938159,0.0002914159,0.0005561387,0.001079131,0.0008844883,0.001290623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006256206,"about_ca_system_score_gemma":0.001182206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0976487,"about_ca_topic_score_gemma":0.09485697,"domain_scores_codex":[0.9990048,0.0003212343,0.000132103,0.0001876404,0.0001795353,0.0001746482],"domain_scores_gemma":[0.9973601,0.0006032425,0.001191072,0.0001933408,0.0004193563,0.0002329231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002016732,0.00005500472,0.9462995,0.0002538773,0.0001338552,0.0003252732,0.0004808037,0.003548973,0.00008895154,0.0007869893,0.0341077,0.01371733],"study_design_scores_gemma":[0.00007535562,0.00007015681,0.9459342,0.0003060463,0.0001039064,0.0003301861,0.003592508,0.0117694,0.0003888692,0.001057392,0.03632185,0.00005000606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6283319,0.00148904,0.001544457,0.00151845,0.00008897937,0.00006250399,0.3615983,0.0001922004,0.00517414],"genre_scores_gemma":[0.7312545,0.0007771519,0.00100883,0.0001879756,0.00005859041,0.0001477577,0.2630399,0.00004088429,0.003484372],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0976487,"threshold_uncertainty_score":0.1941606,"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."}}