{"id":"W4390988485","doi":"10.5267/j.ijdns.2023.11.024","title":"Antecedents of adoption and usage of ChatGPT among Jordanian university students: Empirical study","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Structural equation modeling; Extant taxon; Psychology; Empirical research; Technology acceptance model; Knowledge management; Product (mathematics); Usability; Computer 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":[0.0009937487,0.0000538478,0.0001053652,0.0001966487,0.00006569306,0.0001484071,0.001948197,0.00001395719,0.000003780602],"category_scores_gemma":[0.0000338941,0.00004376478,0.00001326998,0.0005885315,0.000228362,0.002584939,0.00116559,0.00008218979,5.095599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380058,"about_ca_system_score_gemma":0.0001176449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217475,"about_ca_topic_score_gemma":0.00001041146,"domain_scores_codex":[0.9986914,0.00002714617,0.0002376798,0.0001893296,0.0007692675,0.00008514815],"domain_scores_gemma":[0.9992772,0.00005808938,0.0001557141,0.0001547455,0.000290806,0.00006340337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002242762,0.0001363705,0.987353,0.00001011765,0.00005548508,0.00004434681,0.000985879,0.0001437532,0.0002705039,0.0006625364,0.0002648186,0.01005078],"study_design_scores_gemma":[0.0003123498,0.0002389617,0.9710144,0.0001864545,0.00001623449,0.00008108058,0.0002146651,0.02700989,0.0001110817,0.0002605446,0.0004908802,0.00006349507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737623,0.0001917507,0.02525536,0.0001998501,0.0005052031,0.00003913956,0.00001288723,0.000005180949,0.00002831924],"genre_scores_gemma":[0.9970635,0.0003718207,0.002423704,0.0000174534,0.00009894046,3.809845e-8,0.000001335076,0.000001732535,0.00002147324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686613,"threshold_uncertainty_score":0.3620268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598779873757282,"score_gpt":0.3251609380969882,"score_spread":0.2991731393594154,"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."}}