{"id":"W2807870577","doi":"10.1002/mde.2938","title":"The university's Janus face: The innovation–inequality nexus","year":2018,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nexus (standard); Inequality; Boosting (machine learning); Janus; Face (sociological concept); Economic inequality; Economic geography; Key (lock); Economics; Sociology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066467,0.00014556,0.0002856314,0.0001587623,0.0009979638,0.0003680314,0.0004691135,0.00008122175,0.0001717332],"category_scores_gemma":[0.0001169998,0.0001091719,0.000107444,0.0003267784,0.000349415,0.0002249458,0.0002502954,0.00009836749,0.0005464434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007451314,"about_ca_system_score_gemma":0.00001861665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385437,"about_ca_topic_score_gemma":0.0005722032,"domain_scores_codex":[0.9986987,0.00001818944,0.0006322009,0.0004006784,0.00002301188,0.0002272094],"domain_scores_gemma":[0.9987244,0.0002804674,0.0003925245,0.0004881334,0.00005736924,0.00005710329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001026613,0.00001207528,0.0009819738,0.000001348852,0.00006379413,8.537915e-7,0.0001303941,0.0002057205,8.270187e-7,0.9621524,0.002954995,0.03339297],"study_design_scores_gemma":[0.0003325778,0.00003653282,0.008443578,0.000001725677,0.000006404423,0.000001966464,0.0002787167,0.01772257,0.000003078907,0.4067498,0.5662798,0.0001433328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380823,0.0003382668,0.01678501,0.008001023,0.001341667,0.0002050426,0.00008516382,0.00002266131,0.03513881],"genre_scores_gemma":[0.994988,0.001222381,0.0003040299,0.0007891413,0.000513273,0.000003156002,0.00001045611,0.00001392657,0.002155617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5633247,"threshold_uncertainty_score":0.7675632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365873334513164,"score_gpt":0.2163455736315333,"score_spread":0.1826868402864016,"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."}}