{"id":"W2087132287","doi":"10.1258/135763307779701239","title":"Perception of eye contact in video teleconsultation","year":2007,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Videoconferencing; Eye contact; Gaze; Eye tracking; Perception; Optometry; Telehealth; Telemedicine; Eye movement; Computer science; Medicine; Computer vision; Psychology; Audiology; Artificial intelligence; Communication; Multimedia; Health care","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":[0.0009784419,0.0001942319,0.0001726924,0.0006393879,0.0002478446,0.0006026729,0.0001592877,0.0004638099,0.002579789],"category_scores_gemma":[0.01012424,0.0001183455,0.0002086108,0.000222588,0.0002837002,0.000362861,0.0005073337,0.0002370772,0.0002364188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004308999,"about_ca_system_score_gemma":0.0001183003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002895963,"about_ca_topic_score_gemma":0.00181379,"domain_scores_codex":[0.9987656,0.0005737689,0.00007119349,0.00009567696,0.000364318,0.0001294259],"domain_scores_gemma":[0.9943987,0.002522983,0.00134469,0.0001766368,0.001165446,0.0003914163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0069081,0.0004878681,0.8210453,0.0003378931,0.0001782169,0.001493093,0.01777653,0.0004018467,0.07423636,0.0001907782,0.001135818,0.07580808],"study_design_scores_gemma":[0.00002701974,0.001489315,0.9862153,0.00003482195,0.00005053549,0.001569857,0.005092398,0.0006232474,0.004309404,0.00004409525,0.0005198381,0.00002415377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986547,0.0001112924,0.0002038662,0.0000208109,0.000003585933,0.000007893557,0.00001648498,0.000004842471,0.0009764115],"genre_scores_gemma":[0.999671,0.00003237165,0.00006980803,0.00001231352,0.000003106477,0.00000302329,0.00001472474,0.000001241636,0.0001924429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002895963,"threshold_uncertainty_score":0.008630216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691687667299959,"score_gpt":0.3493965951531013,"score_spread":0.3324797184801017,"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."}}