{"id":"W7117471961","doi":"10.26417/bamx9m98","title":"Determinants of Generative AI Adoption in Higher Education: A Social Science Perspective on Thai Faculty Behavioral Intentions","year":2025,"lang":"","type":"article","venue":"European Journal of Social Sciences Education and Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Assumption University","funders":"","keywords":"Perspective (graphical); Generative grammar; Structural equation modeling; Social influence; Order (exchange); Generative model","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":[0.002072679,0.0002136373,0.0001615298,0.001494771,0.0008321638,0.002090607,0.0001933608,0.0004226825,0.002080748],"category_scores_gemma":[0.007803573,0.0001655272,0.0003520425,0.00126926,0.001703746,0.000919343,0.001005857,0.0008323233,0.0001086825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092131,"about_ca_system_score_gemma":0.002227497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008110795,"about_ca_topic_score_gemma":0.009531206,"domain_scores_codex":[0.9986612,0.0006501786,0.00009922738,0.00007872276,0.0002412146,0.0002696086],"domain_scores_gemma":[0.9877939,0.007592951,0.002721806,0.0001892025,0.0006741791,0.001028136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002650796,0.0002851171,0.9629006,0.00003903782,0.00002573173,0.0002959127,0.02470219,0.0004206883,0.0004516358,0.001603375,0.00006619893,0.009182892],"study_design_scores_gemma":[0.000007143213,0.0002515453,0.9048986,0.00007570868,0.00004044911,0.0002235038,0.08632976,0.005260238,0.0004223259,0.001695558,0.0007694175,0.0000257912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984838,0.00002481226,0.0002096858,0.0001522854,0.000001219588,0.000009444707,0.000006923668,0.000001165983,0.001110638],"genre_scores_gemma":[0.9998339,0.00002801552,0.00005283315,0.00001098276,0.000001176563,0.000003575734,0.000005136716,3.341179e-7,0.0000639583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008110795,"threshold_uncertainty_score":0.01612717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4722988833940567,"score_gpt":0.6187088311892617,"score_spread":0.1464099477952049,"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."}}