{"id":"W3025127737","doi":"10.2139/ssrn.3469033","title":"Board's IT Expertise and Firm Innovation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Industrial organization; Knowledge management; Accounting; Marketing; 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":[0.006481667,0.0001245169,0.0003557341,0.002719007,0.001197457,0.004255258,0.0008078122,0.002159342,0.02491825],"category_scores_gemma":[0.04838215,0.0001417245,0.0003176653,0.001336405,0.001446632,0.002976286,0.002537202,0.001733238,0.001168151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208975,"about_ca_system_score_gemma":0.001986907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006255195,"about_ca_topic_score_gemma":0.009249918,"domain_scores_codex":[0.9965997,0.001041722,0.0002100025,0.0003293529,0.000668254,0.00115091],"domain_scores_gemma":[0.8718737,0.07344621,0.02294776,0.002764033,0.007503135,0.0214652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007207696,0.00180274,0.8488212,0.0001506959,0.0004012429,0.001098814,0.004082429,0.003989564,0.001845352,0.0246961,0.01086658,0.1015245],"study_design_scores_gemma":[0.0001981783,0.0005493203,0.9509826,0.0002312114,0.0002181442,0.000803224,0.007929306,0.002873259,0.000823896,0.0198673,0.01547602,0.00004755989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276749,0.001236911,0.0006946879,0.006080617,0.00008815389,0.00002461532,0.0001475928,0.00003523501,0.06401737],"genre_scores_gemma":[0.9967218,0.0001723886,0.00007240517,0.0002099766,0.00007548128,0.000003825246,0.0000527536,0.000005136888,0.002686402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02491825,"threshold_uncertainty_score":0.0833599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009109493081090067,"score_gpt":0.2050029106367726,"score_spread":0.1958934175556825,"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."}}