{"id":"W4410874467","doi":"10.5430/jms.v16n1p51","title":"The Effect of Artificial Intelligence Trust on Innovation Performance: Anti-Fragility and Knowledge Sharing Mediation and Identity Moderation","year":2025,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moderation; Mediation; Fragility; Psychology; Identity (music); Moderated mediation; Knowledge sharing; Knowledge management; Social psychology; Sociology; Computer science; Social science; Philosophy; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006539274,0.000515073,0.0006565733,0.0007041013,0.001457609,0.003160445,0.0007974356,0.001182217,0.007748612],"category_scores_gemma":[0.03566364,0.0002869739,0.0008051981,0.0006506193,0.001814071,0.001993254,0.00400184,0.002172126,0.0003210929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138271,"about_ca_system_score_gemma":0.003704132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007217738,"about_ca_topic_score_gemma":0.005579653,"domain_scores_codex":[0.9932001,0.004099616,0.0003552523,0.0007507294,0.0006383035,0.0009561002],"domain_scores_gemma":[0.8952762,0.07826922,0.0135751,0.004465898,0.00275924,0.005654233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002365989,0.002354204,0.9321916,0.0003031583,0.0008125303,0.0005947999,0.02021435,0.0008885354,0.003733989,0.008551414,0.000482028,0.02750742],"study_design_scores_gemma":[0.0002002403,0.001397582,0.9578999,0.0002987592,0.001438345,0.0003160278,0.01450156,0.007366242,0.004594817,0.00967265,0.002240223,0.00007369631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952851,0.0001384499,0.0007261965,0.0005365297,0.00001867141,0.00003134827,0.00005464321,0.000006427338,0.003202764],"genre_scores_gemma":[0.9992429,0.00003995216,0.0002378479,0.00003930879,0.000007180084,0.00002612668,0.00002445415,0.000003219869,0.0003790664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007748612,"threshold_uncertainty_score":0.03458339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785790438510141,"score_gpt":0.2833599722723727,"score_spread":0.2655020678872713,"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."}}