{"id":"W2171866551","doi":"10.1145/985921.986005","title":"Attentive display","year":2004,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Gaze; Visualization; Human–computer interaction; Point (geometry); Display device; Computer graphics (images); Point of interest; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003732584,0.00004350143,0.00004569146,0.00003744605,0.0000431663,0.0000270246,0.0003619602,0.00002505836,0.000007184865],"category_scores_gemma":[0.0000086726,0.00003329983,0.00002179967,0.0001470189,0.00003270813,0.0001077409,0.00009112311,0.00005476828,0.0003260914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731885,"about_ca_system_score_gemma":0.00001407909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887743,"about_ca_topic_score_gemma":0.000007791375,"domain_scores_codex":[0.9996126,0.00000434925,0.00004858742,0.0001547702,0.00005988002,0.0001198128],"domain_scores_gemma":[0.9997214,0.000009440377,0.00001377564,0.0002142562,0.00001890154,0.00002222487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[2.088134e-7,0.00002588472,0.000806496,5.190261e-7,0.000003285722,0.00001199013,0.00004522599,0.000014547,0.000748502,0.9877936,0.0001307526,0.01041904],"study_design_scores_gemma":[0.002010897,0.0003775004,0.4193874,0.00004592424,0.000009895144,0.0001502188,0.0001136318,0.002270917,0.1020458,0.4540852,0.01874751,0.0007550938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07893082,0.00001003642,0.9033805,0.00399588,0.0001094706,0.00002343954,1.745608e-7,0.0004508854,0.0130988],"genre_scores_gemma":[0.9483811,8.437218e-7,0.05091448,0.0002345921,0.000008231402,0.00000253415,1.922644e-7,0.000001600389,0.0004564074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8694503,"threshold_uncertainty_score":0.4191354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009593702746351442,"score_gpt":0.2301697970867651,"score_spread":0.2205760943404137,"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."}}