{"id":"W4412977720","doi":"10.24148/wp2025-13","title":"Firm Search in the Labor Market: Evidence from Help-Wanted Advertisements","year":2025,"lang":"en","type":"article","venue":"Federal Reserve Bank of San Francisco, Working Paper Series","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science","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":[0.001062467,0.0002074107,0.0003112719,0.003280276,0.0004468941,0.001298631,0.0004610181,0.0006211036,0.006061965],"category_scores_gemma":[0.008183218,0.0002810541,0.0003144772,0.004966539,0.0005025891,0.001105409,0.0008830635,0.0006243626,0.001442476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924856,"about_ca_system_score_gemma":0.0003724972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0640117,"about_ca_topic_score_gemma":0.1072469,"domain_scores_codex":[0.9994867,0.0001311038,0.00005208105,0.00009644032,0.0001231759,0.000110508],"domain_scores_gemma":[0.9784359,0.006108104,0.01195503,0.0008252119,0.001150665,0.001525258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002457166,0.00007667676,0.9912195,0.00006993526,0.00006500555,0.0000661618,0.0007738607,0.0002108964,0.000159595,0.0002045521,0.001286556,0.005621686],"study_design_scores_gemma":[0.000006978535,0.0000421165,0.9981084,0.00001631621,0.00002123114,0.00002858453,0.0005259535,0.0001941177,0.0000754024,0.0000295925,0.0009458527,0.000005519365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919813,0.0009789484,0.00009282459,0.000265636,0.000007554972,0.000008929787,0.003250065,0.000008375618,0.003406412],"genre_scores_gemma":[0.9943763,0.0006311859,0.00006598192,0.00006237596,0.00002725321,0.00001041659,0.002925501,0.000006877238,0.001894127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0640117,"threshold_uncertainty_score":0.1272782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472153235508988,"score_gpt":0.2651565491010311,"score_spread":0.2204350167459413,"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."}}