{"id":"W2524962823","doi":"10.3386/w22677","title":"Aggregate Recruiting Intensity","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; York University; London School of Economics and Political Science","keywords":"Aggregate (composite); Intensity (physics); Business; Materials science; Composite material; Physics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001301003,0.0005711529,0.001087768,0.0009146158,0.0004458699,0.002098118,0.002420526,0.001840962,0.01330481],"category_scores_gemma":[0.00542195,0.0004610252,0.0008688755,0.0009782386,0.0008381822,0.002586752,0.001392422,0.001182153,0.002418193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131698,"about_ca_system_score_gemma":0.0008787748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747668,"about_ca_topic_score_gemma":0.002268412,"domain_scores_codex":[0.9992612,0.0001709385,0.00003442989,0.0002061843,0.0001240179,0.0002032791],"domain_scores_gemma":[0.9980863,0.0005212161,0.0005736982,0.0002625107,0.0002256131,0.0003307022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002054097,0.0002659587,0.01144268,0.0001230038,0.00006782921,0.0004190019,0.000442044,0.5968944,0.00384207,0.3546826,0.007611466,0.02400355],"study_design_scores_gemma":[0.00004815048,0.00009926729,0.003392685,0.00001938673,0.00003001338,0.0001236412,0.0001132883,0.907176,0.0003470584,0.08516646,0.003445715,0.00003833034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4730331,0.0005474737,0.4440646,0.004501199,0.0001410816,0.0002599544,0.002938715,0.0007529645,0.07376085],"genre_scores_gemma":[0.9532371,0.0003504293,0.01130858,0.0003520865,0.00008624073,0.0002375444,0.0004139253,0.00008294568,0.03393111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330481,"threshold_uncertainty_score":0.04450899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.34363016420824,"score_gpt":0.4483663275440925,"score_spread":0.1047361633358525,"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."}}