{"id":"W7162145351","doi":"10.82308/51275","title":"How Algorithmic Literacy and Demographic Background Shape Public Attitudes on AI","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Literacy; Transparency (behavior); Computer literacy; Psychological intervention; Socioeconomic status; Digital divide; Survey data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002279629,0.0001212801,0.0001795711,0.001000954,0.00147279,0.002871783,0.0003009728,0.0004454432,0.006028523],"category_scores_gemma":[0.0136112,0.000149871,0.0002766259,0.001133685,0.001615507,0.001454893,0.001107919,0.001098954,0.0005308656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933797,"about_ca_system_score_gemma":0.003702024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2073416,"about_ca_topic_score_gemma":0.2563542,"domain_scores_codex":[0.9988606,0.000334073,0.00003927862,0.0001061435,0.000327248,0.0003327348],"domain_scores_gemma":[0.9908443,0.004036749,0.002210079,0.0003477918,0.001451091,0.00110997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007991809,0.0001789255,0.9512729,0.00002554173,0.00003923611,0.00008490192,0.02669919,0.0001672503,0.0001873654,0.002636288,0.001002208,0.01762632],"study_design_scores_gemma":[0.00000440136,0.00003664445,0.9704775,0.000073728,0.0000222682,0.00003358546,0.02529254,0.0004077409,0.0001013648,0.0008491622,0.002689227,0.0000119948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908614,0.00009029606,0.0001333797,0.001021305,0.000006134536,0.000009134751,0.0001338721,0.00000238474,0.007742075],"genre_scores_gemma":[0.9987276,0.0001498184,0.00005504252,0.0001218432,0.00000529345,0.00000606724,0.00009360655,0.000003003851,0.0008376713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2073416,"threshold_uncertainty_score":0.4122695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354602736116559,"score_gpt":0.3985474117831676,"score_spread":0.345001384422002,"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."}}