{"id":"W7143582623","doi":"","title":"From promises to practice : unraveling users’ mental models about the role and implications of large language models (LLMs) for individuals and society","year":2025,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; National Science and Technology Council; Ministerio de Ciencia, Innovación y Universidades; Vlaamse regering; Consejería de Educación, Junta de Castilla y León; Université du Québec à Montréal; TrygFonden; Departement Economie, Wetenschap en Innovatie; Centre National pour la Recherche Scientifique et Technique; Ministry of Land, Infrastructure, Transport and Tourism; Centre National de la Recherche Scientifique; European Commission; Bijzonder Onderzoeksfonds UGent; Junta de Castilla y León","keywords":"Narrative; Mental model; Mental health; Human factors and ergonomics; Qualitative research; Poison control","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.03145323,0.0009766867,0.0004654297,0.002787481,0.006497473,0.01732025,0.001945346,0.003748963,0.002682269],"category_scores_gemma":[0.05570726,0.0009492424,0.0007254059,0.001497388,0.02798822,0.02785964,0.01124642,0.00544432,0.0006911996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005129917,"about_ca_system_score_gemma":0.004615948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006400791,"about_ca_topic_score_gemma":0.004700371,"domain_scores_codex":[0.9631858,0.02925294,0.0007662488,0.0009691837,0.004317218,0.001508575],"domain_scores_gemma":[0.9395248,0.04820619,0.002835824,0.004259663,0.003029192,0.002144403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004773082,0.00002295995,0.004359725,0.0001119527,0.000008846052,0.0003175061,0.9457259,0.0001840479,0.0007749202,0.03191943,0.001038352,0.01548859],"study_design_scores_gemma":[0.0000114545,0.0001028373,0.001733482,0.000464252,0.00002051958,0.000602199,0.9151253,0.002201355,0.0006738645,0.04136662,0.03761059,0.00008768334],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8591986,0.002680275,0.04542893,0.03630858,0.0002035049,0.0001668921,0.00008144981,0.000276244,0.05565556],"genre_scores_gemma":[0.9912472,0.0006066087,0.005113136,0.001301923,0.00002065226,0.00006899604,0.00002593372,0.0000521465,0.001563499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9935025,"threshold_uncertainty_score":0.1663426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790762875887939,"score_gpt":0.3559191159024471,"score_spread":0.2980114871435677,"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."}}