{"id":"W4405363340","doi":"10.1108/smr-04-2024-0920","title":"Labor Market Frictions and Firms' Build-Borrow-Buy Choices","year":2024,"lang":"en","type":"article","venue":"Strategic Management Review","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization; Labour economics; Microeconomics; Economics; Commerce","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":[0.001997869,0.0002309987,0.0005370119,0.001533311,0.0003625576,0.002340812,0.0004691347,0.00150112,0.002507894],"category_scores_gemma":[0.004838218,0.0002287266,0.0002812537,0.00326196,0.00157014,0.001592044,0.0006350641,0.001575127,0.0002891915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051552,"about_ca_system_score_gemma":0.003290614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00998613,"about_ca_topic_score_gemma":0.02122947,"domain_scores_codex":[0.9994853,0.0001865563,0.00003335599,0.00005719392,0.0001262837,0.0001113316],"domain_scores_gemma":[0.9956614,0.003030329,0.0007332382,0.00006791594,0.0003045663,0.000202494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001997874,0.0001915878,0.01834363,0.002963501,0.0002697016,0.0001290477,0.0006360927,0.005227925,0.0002854509,0.2416569,0.04409672,0.6859996],"study_design_scores_gemma":[0.0001282952,0.0002888815,0.1380301,0.01514091,0.000328576,0.0003603835,0.005595213,0.005070127,0.0004087047,0.320305,0.5142109,0.0001329565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01332367,0.9638825,0.0003861914,0.01592879,0.0002672395,0.000003784791,0.00005370167,0.000003015442,0.006151161],"genre_scores_gemma":[0.1435358,0.8522318,0.0002012498,0.00165886,0.0008818528,0.00000808969,0.0000677667,0.000002932041,0.001411681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00998613,"threshold_uncertainty_score":0.01985604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917207534129767,"score_gpt":0.2636691402385684,"score_spread":0.2344970648972707,"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."}}