{"id":"W4252441607","doi":"10.1145/765978.765981","title":"EyePliances","year":2003,"lang":"en","type":"article","venue":"CHI '03 extended abstracts on Human factors in computer systems - CHI '03","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008583439,0.0008605754,0.001011484,0.0008245357,0.0005069835,0.0006950488,0.002413796,0.0004733069,0.00002693999],"category_scores_gemma":[0.00008381431,0.0007563748,0.0002574342,0.0007253296,0.0002445044,0.0006381077,0.0002572378,0.001199623,0.0004991163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002785375,"about_ca_system_score_gemma":0.0001265593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581513,"about_ca_topic_score_gemma":0.00006986394,"domain_scores_codex":[0.9945693,0.0003807822,0.001317287,0.001742586,0.0007607634,0.001229284],"domain_scores_gemma":[0.9966177,0.0003016884,0.0006668788,0.001967397,0.0001317471,0.0003145706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003539745,0.00425597,0.04323259,0.0006926544,0.0005061518,0.001297962,0.003460281,0.0182798,0.001674055,0.8857144,0.0127678,0.02808291],"study_design_scores_gemma":[0.003164931,0.001363713,0.9357889,0.001471223,0.00003500809,0.0002473155,0.0002253168,0.008004352,0.009077156,0.01140231,0.02616948,0.003050342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358782,0.0004413847,0.03346387,0.0001684802,0.009403517,0.0009146402,0.00002407216,0.001703347,0.01800254],"genre_scores_gemma":[0.9934205,0.00001284335,0.005475304,0.0001826649,0.0004246125,0.00005043952,0.00001893234,0.0000621962,0.0003524727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8925563,"threshold_uncertainty_score":0.9994887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840372363746705,"score_gpt":0.2955110176671237,"score_spread":0.2471072940296566,"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."}}