{"id":"W3036004323","doi":"10.71781/21084","title":"Essays in dynamic panel data models and labor supply","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Economics; Data science; Econometrics; Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000435596,0.0002136697,0.0007676072,0.0002788958,0.00004366057,0.0002564708,0.001080272,0.0002432705,0.002654753],"category_scores_gemma":[0.00002542369,0.0002507452,0.0000545386,0.0001396716,0.00002146847,0.0006979682,0.000248188,0.0002011719,0.001282741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007352937,"about_ca_system_score_gemma":0.00008366929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003501133,"about_ca_topic_score_gemma":0.009752581,"domain_scores_codex":[0.9981725,0.00001166118,0.0006674842,0.0009179365,0.00002718852,0.0002032027],"domain_scores_gemma":[0.9986887,0.00004101704,0.0004517179,0.0007429808,0.00001824903,0.00005733233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001099423,0.001089474,0.2993354,0.0007380393,0.002302233,0.0001189808,0.01384164,0.0116263,0.00003812604,0.1837191,0.00688463,0.4792066],"study_design_scores_gemma":[0.001818326,0.00006412877,0.06775,0.0002151252,0.00009183897,0.000004294754,0.002056665,0.7856246,0.000007003698,0.08116636,0.05979537,0.001406333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8491403,0.003649009,0.00006736394,0.0004254448,0.0003354987,0.0005219281,0.003757885,0.000001134349,0.1421014],"genre_scores_gemma":[0.9255886,0.002275537,0.0008113879,0.00005289939,0.00002720709,0.00003014913,0.009652467,0.00003547816,0.06152628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739983,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026930482179026,"score_gpt":0.291129065433047,"score_spread":0.1884360172151445,"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."}}