{"id":"W2036298055","doi":"10.1145/765891.765981","title":"EyePliances","year":2003,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Gaze; Human–computer interaction; Context (archaeology); Eye contact; Eye tracking; Mechanism (biology); Computer vision; Artificial intelligence; Communication; Psychology","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":[0.0005137696,0.001397938,0.0005100498,0.0009992775,0.0006831954,0.001842514,0.001849004,0.00174518,0.0679845],"category_scores_gemma":[0.001941124,0.0004826187,0.0006247849,0.0006357178,0.000357029,0.003434621,0.002675273,0.001009151,0.02864508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657795,"about_ca_system_score_gemma":0.0004746832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141919,"about_ca_topic_score_gemma":0.001629303,"domain_scores_codex":[0.9994166,0.00006132261,0.00003271338,0.0001622671,0.0002362571,0.0000907883],"domain_scores_gemma":[0.9993236,0.0001218042,0.0000445412,0.0002074309,0.0002069495,0.00009568295],"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":[0.001324835,0.0002248998,0.002455619,0.0009938661,0.00008568238,0.001051816,0.000458915,0.001641662,0.07453354,0.01953961,0.2000182,0.6976713],"study_design_scores_gemma":[0.0001654657,0.0004383952,0.0020251,0.000149737,0.00009438227,0.002910025,0.0001087057,0.01144455,0.06264514,0.008008325,0.9118858,0.0001244181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03393833,0.009363492,0.5876045,0.002262785,0.001866661,0.0008612717,0.008204534,0.1044568,0.2514417],"genre_scores_gemma":[0.2707262,0.006856683,0.3150927,0.004514023,0.0007813763,0.00117051,0.01868697,0.01095411,0.3712175],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0679845,"threshold_uncertainty_score":0.2274308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436437358628422,"score_gpt":0.2359422950031564,"score_spread":0.2215779214168722,"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."}}