{"id":"W4406211959","doi":"10.1177/09504222241311125","title":"CEO and academic mismatch","year":2025,"lang":"en","type":"article","venue":"Industry and Higher Education","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Baylor University","keywords":"CONTEST; Value (mathematics); Sample (material); Higher education; Public relations; Sociology; Political science; 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":[0.02382353,0.0002120665,0.0007953502,0.004314839,0.003684522,0.007817387,0.001388425,0.002063069,0.0129761],"category_scores_gemma":[0.1488485,0.0002781572,0.0003361366,0.003978043,0.004303474,0.005441231,0.006716694,0.002239729,0.0009960552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005648413,"about_ca_system_score_gemma":0.003998911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956689,"about_ca_topic_score_gemma":0.004340644,"domain_scores_codex":[0.9700954,0.01223288,0.002042212,0.002048325,0.00986592,0.00371529],"domain_scores_gemma":[0.8901973,0.0411859,0.02583425,0.004486231,0.01321643,0.02507989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006804332,0.0007377655,0.7369257,0.0003243946,0.0001899238,0.0007862882,0.08821625,0.0005055603,0.001097676,0.04618138,0.02000039,0.1043543],"study_design_scores_gemma":[0.0001816182,0.0003716229,0.5876442,0.0004670219,0.00007325117,0.001568883,0.2901304,0.00154419,0.0007266848,0.05423217,0.06291772,0.0001421347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251859,0.002929789,0.001835229,0.02881119,0.0003251778,0.000058485,0.0001542676,0.00003091056,0.04066904],"genre_scores_gemma":[0.9957491,0.000296524,0.0001663449,0.002427579,0.00009661702,0.00001495511,0.00005395238,0.00001129112,0.001183526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02382353,"threshold_uncertainty_score":0.1259924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05689180953959595,"score_gpt":0.4191862241299525,"score_spread":0.3622944145903566,"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."}}