{"id":"W2545584175","doi":"10.1109/gem.2014.7048112","title":"A scenario and dialogue editor for a cultural competence serious game","year":2014,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Avatar; Conversation; Serious game; Computer science; Game design; Character (mathematics); Competence (human resources); Human–computer interaction; Psychology; Multimedia; Social psychology; Communication","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":[0.002349518,0.00178644,0.0007410813,0.001060203,0.0005912991,0.002065077,0.002096603,0.001918449,0.04818862],"category_scores_gemma":[0.007232284,0.0006093218,0.0006902984,0.0002868459,0.0004194269,0.002448131,0.002588027,0.001873916,0.008720168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973622,"about_ca_system_score_gemma":0.000642274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048161,"about_ca_topic_score_gemma":0.0005604033,"domain_scores_codex":[0.9988797,0.0005706855,0.000122012,0.000144185,0.00020296,0.00008045918],"domain_scores_gemma":[0.9944152,0.003818606,0.0001458605,0.0004319719,0.0004248536,0.000763585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007679943,0.003202215,0.002796732,0.004366518,0.0002032774,0.01426108,0.01578484,0.02023792,0.1996644,0.06502821,0.2397808,0.4269941],"study_design_scores_gemma":[0.0009724936,0.001316178,0.00183715,0.0004029945,0.00008325395,0.003149557,0.001209105,0.08330564,0.03456446,0.01114615,0.8617604,0.0002526314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02673875,0.0002641585,0.8800572,0.0008910964,0.001062351,0.003916447,0.003688847,0.05013009,0.0332511],"genre_scores_gemma":[0.1672155,0.0004025512,0.7564011,0.0007978165,0.0003514486,0.004726111,0.005625589,0.008639787,0.05584012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04818862,"threshold_uncertainty_score":0.161207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124826773838424,"score_gpt":0.3616900987951165,"score_spread":0.3304418310567322,"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."}}