{"id":"W4404130128","doi":"10.54941/ahfe1005574","title":"Investigating common factors needed for consumers to trust AI\\ML","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000556509,0.00007505719,0.00008912346,0.00009241406,0.0003456702,0.0005501196,0.0002635328,0.0000988776,0.0002702473],"category_scores_gemma":[0.001852596,0.00007412781,0.00008160764,0.0001436023,0.0001733053,0.0003432895,0.00003724595,0.0001768557,0.00005801327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158547,"about_ca_system_score_gemma":0.0002638396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008759915,"about_ca_topic_score_gemma":0.003881865,"domain_scores_codex":[0.9990764,0.00003974148,0.0001566042,0.0001532491,0.0003729744,0.000201041],"domain_scores_gemma":[0.9989103,0.0006233106,0.00003028855,0.00005213379,0.0002143483,0.0001696074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006607723,0.00002382772,0.01917327,0.00001687032,0.000130591,0.000002754316,0.06216284,0.00002293839,0.0006321106,0.8431558,0.06912031,0.005552093],"study_design_scores_gemma":[0.00019874,0.00005648596,0.003651346,0.0001308969,0.0000207443,4.250574e-7,0.02071315,0.0009809664,0.0007739855,0.1048253,0.8683813,0.0002666468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7622781,0.00004715497,0.0005247968,0.1629426,0.003634018,0.0002959187,0.0001091184,0.0001659728,0.0700023],"genre_scores_gemma":[0.9899948,0.00001101426,0.0004722287,0.005133735,0.0004712027,0.00001585217,0.00002943197,0.00001284045,0.003858852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.799261,"threshold_uncertainty_score":0.9978408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09491656336525807,"score_gpt":0.4592122021692556,"score_spread":0.3642956388039975,"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."}}