{"id":"W2169856901","doi":"10.1109/iembs.2008.4649261","title":"Unused information: Detecting and applying eye contact data in computerized healthcare systems","year":2008,"lang":"en","type":"review","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gaze; Computer science; Human–computer interaction; User interface; Eye contact; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654327,0.0005015642,0.0007777328,0.003627053,0.0003246481,0.001577866,0.001270764,0.001738109,0.001852424],"category_scores_gemma":[0.004995852,0.0003629516,0.0004395791,0.003712411,0.000828261,0.002720812,0.00057963,0.0008073785,0.001159856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212658,"about_ca_system_score_gemma":0.001050865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690475,"about_ca_topic_score_gemma":0.003398779,"domain_scores_codex":[0.9987885,0.0003369493,0.0001155272,0.0001440386,0.0005682901,0.00004666068],"domain_scores_gemma":[0.9970493,0.001978318,0.0002243027,0.00008841321,0.0006093092,0.00005048551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003056603,0.00004571374,0.00113335,0.005823874,0.00005601387,0.0002146023,0.0001809576,0.000413296,0.0007410576,0.002598191,0.006098643,0.9826637],"study_design_scores_gemma":[0.00003249184,0.0005475036,0.01959213,0.01445241,0.00040919,0.007818308,0.0009299756,0.002710844,0.004570733,0.01727216,0.9315442,0.0001201048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008669654,0.9943488,0.001431945,0.0005164254,0.0001391137,0.00001269355,0.00001305976,0.00001624412,0.002654774],"genre_scores_gemma":[0.01250938,0.9837218,0.001859624,0.0003882253,0.0003053131,0.00002483379,0.00003062359,0.00000419928,0.001156025],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003627053,"threshold_uncertainty_score":0.008749008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074904853321504,"score_gpt":0.3477652022926445,"score_spread":0.2402747169604942,"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."}}