{"id":"W3168414461","doi":"10.25300/misq/2021/16543","title":"Coordinating Human and Machine Learning for Effective Organizational Learning","year":2021,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Organizational learning; Knowledge management; Computer science; Business; Artificial intelligence","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":[0.0002243491,0.0001408442,0.0001608422,0.00009018338,0.0005891544,0.0004042955,0.00009592127,0.00005626131,0.0004040444],"category_scores_gemma":[0.0002609522,0.0001416312,0.00003564576,0.0003484426,0.00003703395,0.0005357995,0.00004287156,0.0001763094,0.00005179725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001357796,"about_ca_system_score_gemma":0.00001047778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001354082,"about_ca_topic_score_gemma":0.00009860463,"domain_scores_codex":[0.9991654,0.00001834901,0.0001759517,0.0003084107,0.0001304172,0.0002014296],"domain_scores_gemma":[0.9993013,0.0001135337,0.0001251547,0.00008831998,0.0003608943,0.00001075903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008682876,0.0003081084,0.3538118,0.00190958,0.0002019798,0.0000649175,0.001696515,0.000343186,0.08312494,0.09335035,0.002749543,0.4623522],"study_design_scores_gemma":[0.005962149,0.0007111276,0.1423549,0.0009270091,0.0005497525,0.0001271553,0.01108058,0.176519,0.01036142,0.03263958,0.6156427,0.003124633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345241,0.0005952279,0.05509581,0.001119924,0.0004072683,0.0004520723,0.000009309166,0.000321446,0.007474812],"genre_scores_gemma":[0.9972584,0.000001810786,0.0003198618,0.0002286407,0.0006157827,0.00002336392,0.0004269452,0.00003028111,0.00109489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6128932,"threshold_uncertainty_score":0.5775555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638747349333395,"score_gpt":0.2627863966787153,"score_spread":0.2363989231853813,"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."}}