{"id":"W4386010765","doi":"10.5267/j.ijdns.2023.7.006","title":"Antecedents of understanding the investors’ acceptance of artificial intelligence: Perceptions from Jordanian context","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Perception; Usability; Applied psychology; Context (archaeology); Service (business); Investment (military); Social psychology; Knowledge management; Marketing; Business; Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102984,0.00006517865,0.0001227197,0.0001701628,0.0001731124,0.0001360684,0.003407749,0.00001924645,0.00002310334],"category_scores_gemma":[0.0001552809,0.00004573416,0.00002625916,0.001098576,0.0005288011,0.001666972,0.0008615269,0.0001084927,0.00000534999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004058128,"about_ca_system_score_gemma":0.0002094224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002376025,"about_ca_topic_score_gemma":0.0000352581,"domain_scores_codex":[0.9984427,0.00002811402,0.0004433955,0.0001764108,0.0007726334,0.000136724],"domain_scores_gemma":[0.9987155,0.0001928799,0.000373271,0.0002879899,0.0003709495,0.00005947578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001932591,0.0003086866,0.177835,0.00003006195,0.0003718697,0.00004794481,0.02019756,0.01605824,0.03177719,0.4222284,0.01505198,0.3158998],"study_design_scores_gemma":[0.0003753425,0.0002927502,0.2388262,0.000636756,0.00004110109,0.0001475996,0.006705335,0.509327,0.006188358,0.2358797,0.001208704,0.0003711818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5454804,0.0001220901,0.4506004,0.002201561,0.001435222,0.00004178936,0.00005620878,0.00000977155,0.00005256532],"genre_scores_gemma":[0.9947242,0.0004396618,0.004382055,0.0001480543,0.0002881379,2.451895e-7,0.000006496643,0.000002807474,0.000008303579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4932688,"threshold_uncertainty_score":0.6332502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113237225231088,"score_gpt":0.3380063249992329,"score_spread":0.2247690997681449,"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."}}