{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02587115,0.0002390857,0.0003184804,0.001081198,0.0013599,0.004630567,0.0004700945,0.0008929201,0.002317791],"category_scores_gemma":[0.09515752,0.000424451,0.000624295,0.001004949,0.002562322,0.004022568,0.00221549,0.001370042,0.0002455614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003646829,"about_ca_system_score_gemma":0.002821092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008499634,"about_ca_topic_score_gemma":0.006844264,"domain_scores_codex":[0.9831339,0.008934277,0.001306314,0.0009660478,0.0044429,0.00121657],"domain_scores_gemma":[0.8921075,0.05938433,0.01896893,0.009487516,0.01732295,0.002728856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005086553,0.0004084962,0.8295386,0.0002364745,0.0001170285,0.0002546887,0.08816158,0.0008533093,0.004054336,0.008506475,0.001196148,0.06616424],"study_design_scores_gemma":[0.00005824093,0.001105916,0.8577275,0.000177174,0.0001191648,0.0002462423,0.1122274,0.01003157,0.0030402,0.007419187,0.007720129,0.0001272515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987924,0.00002807389,0.005039663,0.001046762,0.00000748868,0.0001291127,0.0000543784,0.00002472249,0.005745772],"genre_scores_gemma":[0.9981731,0.00001302795,0.001522542,0.0000665394,0.000002829531,0.00003838641,0.00002762811,0.000004032397,0.0001517752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02587115,"threshold_uncertainty_score":0.1368214,"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."}}