{"id":"W2966384680","doi":"","title":"Conversational Agents as Historical Figures: Individual Differences and Perceptions of Agent and Social Presence","year":2016,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"AI in Service Interactions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Perception; Psychology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003062275,0.0001289492,0.0001806327,0.001264791,0.001585357,0.004798286,0.0005153607,0.0007402943,0.002607051],"category_scores_gemma":[0.01736618,0.0003096696,0.0001725804,0.0007415956,0.001449496,0.002831777,0.001654901,0.001228512,0.0002719383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754047,"about_ca_system_score_gemma":0.0004930405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006246925,"about_ca_topic_score_gemma":0.008985934,"domain_scores_codex":[0.9988565,0.0005847324,0.00006723499,0.0001190741,0.00021543,0.0001569229],"domain_scores_gemma":[0.9853358,0.008078538,0.002670745,0.0005928319,0.001320274,0.002001884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008002445,0.0004200291,0.4735635,0.00007193037,0.0001180112,0.000301609,0.4948283,0.0003792981,0.003871991,0.004087544,0.000399028,0.02115859],"study_design_scores_gemma":[0.00001915199,0.0002976647,0.5318899,0.0000497467,0.00007621614,0.0003949291,0.4581695,0.001610817,0.000832703,0.001781091,0.004816818,0.00006148272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950866,0.00009946035,0.0002372669,0.0001035852,0.000007266373,0.000007661012,0.00001649455,0.000002837185,0.004438835],"genre_scores_gemma":[0.9994944,0.00004779654,0.00007588675,0.00001637041,0.000003017865,0.000003444605,0.00001393517,0.000002344813,0.0003428296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006246925,"threshold_uncertainty_score":0.01619506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267979765278572,"score_gpt":0.278943032939987,"score_spread":0.2462632352872013,"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."}}