{"id":"W1516893568","doi":"","title":"Transparent Gaze Communications for Multiparty Videoconference System","year":2004,"lang":"en","type":"article","venue":"IEICE Transactions on Information and Systems","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Computer science; Gaze; Videoconferencing; Multimedia; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630842,0.0001519452,0.0001851554,0.0001343177,0.000265497,0.0001340897,0.0001676938,0.0001076753,0.000003181235],"category_scores_gemma":[0.000002670897,0.000150667,0.00005731926,0.0001328082,0.00003915945,0.0006866201,0.000001318518,0.0001568836,0.00004095555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544226,"about_ca_system_score_gemma":0.0000252737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007942469,"about_ca_topic_score_gemma":0.00007714201,"domain_scores_codex":[0.9991053,0.00002125336,0.0004792411,0.00007929747,0.0001310007,0.0001838456],"domain_scores_gemma":[0.9992898,0.00009386795,0.00005754311,0.0003713963,0.00009156573,0.00009586033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000161222,0.00002202162,0.000005142269,0.0006528274,0.00004862003,1.394514e-7,0.002113121,0.975897,0.00005879815,0.01092091,0.00006784012,0.01019745],"study_design_scores_gemma":[0.00142626,0.00005415455,0.0001212842,0.0004786383,0.0000402463,0.00002592629,0.003428394,0.9765661,0.0003868802,0.00001915849,0.01718793,0.0002649833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003473869,0.0002021508,0.9909691,0.0001117425,0.000614798,0.0008544605,0.0001700746,0.0005780922,0.003025772],"genre_scores_gemma":[0.9980417,0.0001774875,0.0009881966,0.00002666208,0.00002590613,0.0006519435,0.00005500913,0.00001502106,0.00001807123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9945678,"threshold_uncertainty_score":0.6144022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158853536043122,"score_gpt":0.2424071981491574,"score_spread":0.2108186627887262,"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."}}