{"id":"W4380988550","doi":"10.3389/fpsyg.2023.1184016","title":"Factors influencing acceptance and trust of chatbots in juvenile offenders’ risk assessment training","year":2023,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"AI in Service Interactions","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Chatbot; Psychology; Applied psychology; Avatar; Medical education; Persuasion; Neuroticism; Credibility; Personality; Social psychology; World Wide Web; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043986,0.0001352262,0.0003172007,0.0006603379,0.00004700723,0.00002480233,0.0005827148,0.0001189891,0.00001403858],"category_scores_gemma":[0.00006286446,0.0001403223,0.00003864028,0.001063979,0.00008383999,0.0004700335,0.0001449618,0.0003762266,0.000003349431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000846051,"about_ca_system_score_gemma":0.00004871401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007636326,"about_ca_topic_score_gemma":0.0001350647,"domain_scores_codex":[0.9985147,0.0001515097,0.0004058392,0.000445347,0.0001389868,0.0003436764],"domain_scores_gemma":[0.9991754,0.0001312551,0.0001957397,0.0004208237,0.00002574778,0.00005108861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006881654,0.00004120776,0.9257823,0.0000125832,0.00001955061,0.00001594059,0.01748535,0.0002302587,0.000178534,0.0003838606,0.002410258,0.05343323],"study_design_scores_gemma":[0.0005346249,0.0000621075,0.9583014,0.00003834592,0.000003158556,0.000003999585,0.008132866,0.02077824,0.00004924365,0.01129999,0.0006595262,0.0001365326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8680176,0.0001047071,0.126895,0.0006079877,0.002592036,0.0001336779,0.000005378578,0.00007326047,0.001570335],"genre_scores_gemma":[0.9600096,0.0001321464,0.03955772,0.0002260644,0.00001838252,0.00002335912,0.000002405673,0.00001070064,0.00001965745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09199196,"threshold_uncertainty_score":0.5722178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05412067835429732,"score_gpt":0.3497884090434036,"score_spread":0.2956677306891063,"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."}}