{"id":"W7015489155","doi":"","title":"Tech in an advanced economy with skills shortage: the moderating role of firm size","year":2023,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"High tech; Government (linguistics); Work (physics); Productivity","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":[0.001714036,0.0003091304,0.0005318015,0.0008471952,0.0008719982,0.00319003,0.0007018677,0.001988325,0.01489451],"category_scores_gemma":[0.008488232,0.0003426328,0.0006735849,0.001025735,0.001039294,0.001881358,0.002475161,0.002518336,0.001293576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619059,"about_ca_system_score_gemma":0.001359404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851263,"about_ca_topic_score_gemma":0.02444057,"domain_scores_codex":[0.9991085,0.0002693069,0.00005043235,0.000110011,0.0000656031,0.0003961779],"domain_scores_gemma":[0.9652463,0.02023429,0.006174972,0.0006364005,0.0007001127,0.007008028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001464369,0.00113785,0.9846737,0.00005946442,0.0002119387,0.001109923,0.0006093857,0.001948939,0.0007049803,0.001127621,0.001808073,0.005143695],"study_design_scores_gemma":[0.00009535367,0.0004159939,0.991842,0.00003212653,0.0001381456,0.0001246875,0.002767831,0.001881587,0.0002478332,0.001193431,0.001242133,0.00001887791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967511,0.0002260911,0.00008192726,0.001240875,0.00002369935,0.000006293924,0.0001718677,0.000008142535,0.001490195],"genre_scores_gemma":[0.9976023,0.0001313507,0.00002280208,0.0001375781,0.00004444468,0.000004950855,0.0001481198,0.000004798867,0.001903695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01851263,"threshold_uncertainty_score":0.0498271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998928583459324,"score_gpt":0.254858119251144,"score_spread":0.2348688334165508,"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."}}