{"id":"W3171435442","doi":"10.1016/j.ijinfomgt.2021.102379","title":"In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Management","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Ministry of Science and Technology, Taiwan","keywords":"Psychology; Knowledge management; Artificial intelligence; Cognitive science; Management; Computer science; Economics","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":[0.003343342,0.0004667255,0.0002134528,0.001051886,0.002554863,0.006959306,0.001474068,0.002980262,0.005347632],"category_scores_gemma":[0.011131,0.0004297155,0.0004743168,0.0008243977,0.01226604,0.005599234,0.002419828,0.002789178,0.0005894099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003019911,"about_ca_system_score_gemma":0.004243847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008224717,"about_ca_topic_score_gemma":0.006876639,"domain_scores_codex":[0.9971293,0.001943475,0.00004890639,0.0002260173,0.000324952,0.0003274597],"domain_scores_gemma":[0.9926507,0.003766505,0.0007513881,0.0006306033,0.0009875277,0.001213354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001949029,0.00043395,0.01863142,0.00009240354,0.00004057012,0.0008881215,0.08353161,0.006006237,0.002821581,0.8658271,0.001594509,0.01993752],"study_design_scores_gemma":[0.0001192971,0.0003989328,0.02791333,0.0001721308,0.00004924863,0.0004928523,0.04867996,0.02942615,0.001171973,0.8767454,0.01471604,0.0001146292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225353,0.000331203,0.0846746,0.0217515,0.0001567348,0.0003422237,0.00009313819,0.0000903088,0.370025],"genre_scores_gemma":[0.9879653,0.0000539477,0.007839645,0.0003488596,0.00001742745,0.00007349849,0.00001523799,0.00001203357,0.003674147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008224717,"threshold_uncertainty_score":0.02191108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04572813639548012,"score_gpt":0.3853686476355835,"score_spread":0.3396405112401034,"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."}}