{"id":"W2808244501","doi":"10.2139/ssrn.3076971","title":"Labor Force Demographics and Corporate Innovation","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Demographics; Business; Demographic economics; Economics; Demography; Sociology","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":[0.001593336,0.00009259235,0.000144264,0.0004588128,0.0001701477,0.00007507949,0.0001096074,0.00007318344,0.00003697535],"category_scores_gemma":[0.00009664598,0.0001002183,0.00002623946,0.00118205,0.00009030072,0.0002502597,0.00001940657,0.0006069133,0.00006801198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001374501,"about_ca_system_score_gemma":0.0001851751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001333086,"about_ca_topic_score_gemma":0.0001089569,"domain_scores_codex":[0.9985762,0.000009080873,0.0004409174,0.000168412,0.00003362354,0.0007718219],"domain_scores_gemma":[0.9991499,0.00001051588,0.00052213,0.0001037436,0.0001842304,0.00002947363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001184566,0.00001167188,0.08851374,0.000002180905,0.00003341895,2.691125e-7,0.00004391784,2.626876e-7,0.0000581193,0.9093137,0.0001943586,0.001816522],"study_design_scores_gemma":[0.0004735826,0.0002200461,0.02470933,0.00000424277,0.000002577188,0.00006891345,0.000105193,0.0002596836,0.00005260191,0.9606885,0.01328296,0.0001323541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966065,0.001444939,0.02609323,0.002301424,0.0003037736,0.00007326822,0.000009277422,0.00004301157,0.00366601],"genre_scores_gemma":[0.9956675,0.001175505,0.0002597039,0.0009155252,0.0002990881,0.000002177024,0.000005665743,0.00002270227,0.001652179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06380442,"threshold_uncertainty_score":0.4086784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597883382773248,"score_gpt":0.2187876959593293,"score_spread":0.1928088621315968,"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."}}