{"meta":{"query_hash":"0a6f9e39dd59","filters":{"venue":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/0a6f9e39dd59","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+2018+ACM+Symposium+on+Eye+Tracking+Research+%26amp%3B+Applications"},"results":[{"id":"W2805359754","doi":"10.1145/3204493.3204583","title":"Sensitivity to natural 3D image transformations during eye movements","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saccade; Saccadic masking; Computer vision; Saccadic suppression of image displacement; Computer science; Artificial intelligence; Sensitivity (control systems); Eye movement; Transformation (genetics); Object (grammar); Virtual image; Engineering","score_opus":0.03640482931694007,"score_gpt":0.35284863311433656,"score_spread":0.3164438037973965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805359754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409643,0.000015451664,0.03011521,0.022118041,0.00018599974,0.0016859694,0.000039061477,0.0005293366,0.0043466273],"genre_scores_gemma":[0.95953506,0.000014662662,0.038568433,0.0001365559,0.00018109799,0.0004150048,0.000004041605,0.00003053187,0.0011145943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968038,0.00005756551,0.00046243818,0.00076935656,0.0010630527,0.0008437739],"domain_scores_gemma":[0.996366,0.00023836082,0.00020598642,0.0012609083,0.0017487943,0.00017990464],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017217477,0.0002643488,0.00026534183,0.00059548335,0.0014788018,0.00033545846,0.003185004,0.00013715812,0.000008137712],"category_scores_gemma":[0.0006432396,0.00021773914,0.00013495685,0.0022213536,0.0007997168,0.00071101607,0.0010691888,0.00081928296,0.00045110277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028334522,0.00029747418,0.002416922,0.00008863348,0.00003904778,2.2734518e-7,0.0021076407,0.0000090990325,0.9774684,0.013061348,0.0015563753,0.0029265499],"study_design_scores_gemma":[0.00077452103,0.0002568596,0.14780335,0.00039995322,0.00002967435,0.000019556579,0.00022660533,0.0010384837,0.80703455,0.014784,0.026922664,0.0007097538],"about_ca_topic_score_codex":0.000060552786,"about_ca_topic_score_gemma":0.00004528411,"teacher_disagreement_score":0.17043377,"about_ca_system_score_codex":0.00024923251,"about_ca_system_score_gemma":0.00007519483,"threshold_uncertainty_score":0.9998211},"labels":[],"label_agreement":null},{"id":"W2806389585","doi":"10.1145/3204493.3204577","title":"Pupil size as an indicator of visual-motor workload and expertise in microsurgical training tasks","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Workload; Computer science; Training (meteorology); Pupil; Human–computer interaction; Artificial intelligence; Aeronautics; Psychology; Engineering; Operating system","score_opus":0.06508891089450225,"score_gpt":0.3899228394063512,"score_spread":0.32483392851184895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806389585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920439,0.000107733096,0.0009118804,0.0049137687,0.000048790516,0.0007884825,0.000007727228,0.0001421817,0.0010355094],"genre_scores_gemma":[0.98763007,0.00006863724,0.011489831,0.000071127615,0.00011334846,0.00038435907,0.000001072451,0.000028415257,0.00021311331],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970517,0.000073950905,0.00056382135,0.0008643473,0.00077256886,0.0006736223],"domain_scores_gemma":[0.9973912,0.0005531266,0.00033744256,0.0008961966,0.00062515464,0.00019686541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002146542,0.00023347583,0.00036817187,0.0005312034,0.00046543867,0.00019076536,0.0030796304,0.00024578103,0.000014404756],"category_scores_gemma":[0.0011603914,0.00019025919,0.00008684086,0.0015405881,0.0016470093,0.0003827561,0.0008841836,0.0007223294,0.000045417324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009813468,0.00081452576,0.021650322,0.000081279955,0.000026305443,4.244294e-7,0.0057899724,7.4327687e-7,0.92411566,0.016043961,0.00028378246,0.031094884],"study_design_scores_gemma":[0.0026573425,0.0024972935,0.34207714,0.0015708251,0.00004575226,0.00007257414,0.0016598334,0.0012558231,0.5829748,0.05024528,0.0137461135,0.0011972489],"about_ca_topic_score_codex":0.000086027525,"about_ca_topic_score_gemma":0.000027395352,"teacher_disagreement_score":0.34114087,"about_ca_system_score_codex":0.00011911394,"about_ca_system_score_gemma":0.000146464,"threshold_uncertainty_score":0.77585447},"labels":[],"label_agreement":null}]}