{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007026409,0.0006416769,0.0006725582,0.0007299641,0.001989501,0.004317477,0.001330827,0.00201367,0.006179203],"category_scores_gemma":[0.02192037,0.0005672151,0.0004309833,0.0006889642,0.005026658,0.006549791,0.005341743,0.002036124,0.0008469002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122613,"about_ca_system_score_gemma":0.005333526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336205,"about_ca_topic_score_gemma":0.002925381,"domain_scores_codex":[0.9935217,0.004353296,0.0001897979,0.0006522354,0.000556064,0.0007268513],"domain_scores_gemma":[0.9845712,0.008650281,0.001715585,0.002409928,0.0007215208,0.001931435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005841615,0.00134311,0.02186831,0.0004803122,0.0003051867,0.0006870022,0.004830842,0.4420821,0.008184705,0.4172016,0.006363301,0.0960694],"study_design_scores_gemma":[0.0004083017,0.0006095862,0.006168649,0.0001404101,0.00008338093,0.0001479135,0.003218392,0.3653781,0.002906371,0.5961827,0.02463852,0.0001176915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4635091,0.001090593,0.4261102,0.0191781,0.0003375464,0.0005533451,0.0001344836,0.000780489,0.08830599],"genre_scores_gemma":[0.9719654,0.0001411187,0.0258422,0.0003969472,0.00004982132,0.0001673089,0.00002492146,0.00003838444,0.001373811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007026409,"threshold_uncertainty_score":0.03715962,"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."}}