{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003390992,0.0003811304,0.0003303527,0.0005349554,0.0004336435,0.001201241,0.0002828605,0.000936326,0.01013607],"category_scores_gemma":[0.003904387,0.0003601819,0.0003455392,0.0004512169,0.0004461488,0.001524289,0.001041424,0.0005403754,0.001002296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865777,"about_ca_system_score_gemma":0.0002136312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016085,"about_ca_topic_score_gemma":0.003187067,"domain_scores_codex":[0.9997533,0.00005172775,0.0000106272,0.00009315259,0.00004317249,0.00004801509],"domain_scores_gemma":[0.9993106,0.0003810981,0.0001030888,0.00005512047,0.00008743598,0.0000627356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003966692,0.00009294093,0.0194621,0.0003670718,0.0001128688,0.0004602547,0.005281319,0.0002109346,0.9099809,0.001851859,0.003662642,0.0545504],"study_design_scores_gemma":[0.0002467086,0.0006032625,0.9374699,0.0002767359,0.0003223562,0.001607924,0.00317084,0.005864259,0.04069263,0.004790685,0.004867715,0.00008704012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738716,0.0005408677,0.006121482,0.0003134379,0.0001721834,0.00007839558,0.0004948619,0.0001617844,0.0182453],"genre_scores_gemma":[0.9889019,0.0002935574,0.005469654,0.0003608709,0.000047167,0.00008531469,0.0004069315,0.0001904493,0.004244105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013607,"threshold_uncertainty_score":0.03390855,"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."}}