{"id":"W2143037342","doi":"10.1145/1514095.1514139","title":"Roball interacting with children","year":2009,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Research Chairs","keywords":"Robot; CLIPS; Computer science; Artificial intelligence; Psychology; Developmental psychology; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003793997,0.0004656305,0.0002998827,0.0003526976,0.0008243521,0.0006480054,0.0005193593,0.000573166,0.01659478],"category_scores_gemma":[0.001581389,0.0001694715,0.0003456838,0.0001911823,0.0004816612,0.0006216211,0.001033225,0.0005114729,0.001687474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919167,"about_ca_system_score_gemma":0.0003318432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008552757,"about_ca_topic_score_gemma":0.02620872,"domain_scores_codex":[0.9996775,0.00009818978,0.00001023798,0.00005452834,0.00008179182,0.00007773105],"domain_scores_gemma":[0.9993833,0.0002635234,0.00006751706,0.0000432056,0.00006548217,0.0001768373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002594676,0.001010808,0.08278111,0.003270755,0.0002483206,0.01751305,0.1491918,0.001958934,0.1616966,0.01259681,0.2275387,0.3395985],"study_design_scores_gemma":[0.0002190036,0.002133071,0.1589674,0.0007500626,0.0002295048,0.01235592,0.04880531,0.002891965,0.03330187,0.001522018,0.7385429,0.0002811118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410799,0.001856964,0.009282031,0.001575381,0.0002219969,0.0002664176,0.00166616,0.001947019,0.1421041],"genre_scores_gemma":[0.9341237,0.001004189,0.02019702,0.0006888133,0.00004908899,0.0002986944,0.001695758,0.0002738447,0.04166891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01659478,"threshold_uncertainty_score":0.05551505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244050442006095,"score_gpt":0.3680849463495969,"score_spread":0.3456444419295359,"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."}}