{"id":"W4294719534","doi":"10.1002/ise3.27","title":"Search, technology choice, and unemployment","year":2022,"lang":"en","type":"article","venue":"International Studies of Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Unemployment; Economics; Incentive; Wage; Wage bargaining; Labour economics; Bargaining power; Wage rate; Efficiency wage; Unemployment rate; Nash equilibrium; General equilibrium theory; Microeconomics; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004680539,0.00008073482,0.0002612805,0.0002303248,0.0001161266,0.0000141243,0.0002691938,0.00002401934,0.0001683777],"category_scores_gemma":[0.0001082494,0.0001013504,0.00004825114,0.00008847843,0.0001174189,0.00007260203,0.0006565239,0.0001072928,0.000007532108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235406,"about_ca_system_score_gemma":0.00001030216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557372,"about_ca_topic_score_gemma":0.00004593817,"domain_scores_codex":[0.9991378,0.000008316558,0.0004633929,0.0002465842,0.00002055319,0.0001234216],"domain_scores_gemma":[0.9994519,0.00008787453,0.0002401288,0.0001494434,0.00004828515,0.00002236478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008690567,0.00004965366,0.1898647,0.000007437227,0.0002421585,6.998361e-7,0.0001216479,0.0009928774,0.00000282919,0.8072035,0.000100712,0.001405076],"study_design_scores_gemma":[0.000883807,0.0001569241,0.02332053,0.000005819455,0.00000620121,0.000007376953,0.0009932764,0.004069858,0.00006333843,0.7587575,0.2114629,0.0002724561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849049,0.003139344,0.00003432717,0.004463473,0.0007172786,0.00008671597,0.0005254787,0.00001336461,0.006115122],"genre_scores_gemma":[0.9961603,0.002772009,0.0003227016,0.0002073853,0.00004763216,0.00003713894,0.00001219642,0.00001035257,0.0004303342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113622,"threshold_uncertainty_score":0.413295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05912831733731797,"score_gpt":0.2837571935535086,"score_spread":0.2246288762161907,"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."}}