{"id":"W2036970246","doi":"10.1145/1514095.1514195","title":"CALLY","year":2009,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Implementation; Human–computer interaction; Robot; Facial expression; Phone; Product (mathematics); Multimedia; Artificial intelligence; Software engineering","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":[0.0005854186,0.0008815625,0.0004172746,0.001053508,0.002552613,0.00299721,0.0008463048,0.001956949,0.3560525],"category_scores_gemma":[0.001585391,0.0003212543,0.0004093937,0.0005501466,0.0007808078,0.002648591,0.002869856,0.001532448,0.1377087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009542978,"about_ca_system_score_gemma":0.001164933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522835,"about_ca_topic_score_gemma":0.006188766,"domain_scores_codex":[0.9992923,0.00008793484,0.00002364679,0.000167463,0.0003164591,0.0001121558],"domain_scores_gemma":[0.9993746,0.00009583413,0.00004018671,0.00008843536,0.0001959281,0.0002051197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003371267,0.00009499551,0.0007433573,0.0003941437,0.00000933817,0.0005560806,0.001742693,0.0001730569,0.008676357,0.03046706,0.6877632,0.2690426],"study_design_scores_gemma":[0.000005822523,0.00002968673,0.0002993376,0.00003140616,0.000002361679,0.0002109844,0.0001988187,0.00008423823,0.0005475611,0.000704299,0.9978756,0.000009984232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008723428,0.002575767,0.01688375,0.007020048,0.004629486,0.0004257257,0.00184357,0.006132009,0.9517661],"genre_scores_gemma":[0.02352783,0.001092845,0.009326443,0.003982568,0.000472982,0.0002709766,0.001223458,0.001142496,0.9589605],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3560525,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985511308970708,"score_gpt":0.429305745175694,"score_spread":0.3894506320859869,"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."}}