{"id":"W4409873169","doi":"10.3138/jsp-2024-1121","title":"The Usage of Generative Artificial Intelligence According to Sociodemographic Characteristics of Undergraduate Students","year":2025,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Generative grammar; Mathematics education; Artificial intelligence; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001249389,0.0001219032,0.0002384487,0.001127038,0.0003888562,0.001130184,0.0002670351,0.0004366344,0.003296598],"category_scores_gemma":[0.009777088,0.0001541463,0.0003254647,0.0008450067,0.0004716035,0.0006089094,0.0006416891,0.0006393635,0.0005724934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258109,"about_ca_system_score_gemma":0.000385532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147314,"about_ca_topic_score_gemma":0.00211435,"domain_scores_codex":[0.9992831,0.000227693,0.0001122665,0.00005353808,0.0001989249,0.000124506],"domain_scores_gemma":[0.9913924,0.003415886,0.002773687,0.0003802345,0.0007184156,0.001319412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002402792,0.00007732453,0.9972491,0.000006225273,0.00001099714,0.00002688519,0.0006886933,0.00001880392,0.0001181188,0.00002587783,0.00003370985,0.001720242],"study_design_scores_gemma":[0.000001449646,0.0001161995,0.9968129,0.000008118096,0.000008296318,0.00009460033,0.002543832,0.000109687,0.00008189515,0.00002836581,0.0001910429,0.000003653711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993703,0.00004789441,0.00002490746,0.00005243758,0.000001614521,0.000005007202,0.00004089046,0.000001138743,0.0004557605],"genre_scores_gemma":[0.9995826,0.00006523048,0.00003395547,0.00001959669,0.000002753814,0.000006291911,0.00005619911,9.034531e-7,0.0002324817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003296598,"threshold_uncertainty_score":0.01102817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311312307739944,"score_gpt":0.4283712646905473,"score_spread":0.2972400339165529,"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."}}