{"id":"W3197415979","doi":"","title":"‘I get your point’: Gaze and finger pointing cues of other people activate different processing channels","year":2019,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gaze; Point (geometry); Communication; Computer science; Channel (broadcasting); Psychology; Artificial intelligence; Mathematics; Telecommunications","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":[0.0001376536,0.0001349751,0.0002353679,0.0001186494,0.00005368117,0.00007883606,0.0003226796,0.00006493305,0.00003421111],"category_scores_gemma":[0.00002514323,0.0001002676,0.00003595568,0.0001679042,0.00003792853,0.000265607,0.0002376405,0.000121026,0.0000143083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000110901,"about_ca_system_score_gemma":0.00001396112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004690939,"about_ca_topic_score_gemma":0.000007033585,"domain_scores_codex":[0.9990952,0.00002420302,0.000172695,0.0003320524,0.0001296209,0.0002462183],"domain_scores_gemma":[0.9994593,0.00005139378,0.0001283057,0.0002704023,0.00005608639,0.00003450927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002584825,0.0003992722,0.5315404,0.0004976797,0.00008389302,0.000005582207,0.007182584,0.00005847532,0.1966447,0.03850604,0.0002765231,0.224779],"study_design_scores_gemma":[0.001513783,0.0004433728,0.4561149,0.0006302195,0.0000214501,0.00005249685,0.0008790257,0.07814085,0.4481276,0.01261946,0.0005902209,0.0008666654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915332,0.00006045569,0.08182003,0.0009728129,0.0001046047,0.0000936291,5.834879e-7,0.0002194035,0.001396434],"genre_scores_gemma":[0.9918462,0.000003207956,0.00723802,0.0001065105,0.0000205194,0.000004130907,2.819116e-7,0.00001079309,0.0007703509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514829,"threshold_uncertainty_score":0.4088793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440415262786226,"score_gpt":0.2425224419042513,"score_spread":0.228118289276389,"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."}}