{"id":"W6944493363","doi":"10.21227/5h46-bf02","title":"Head Eye-K validation dataset","year":2025,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Headset; Gaze; Virtual reality; Avatar; Task (project management); Head (geology); Optical head-mounted display","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001284588,0.0009987351,0.001048968,0.0009068855,0.0002394738,0.0003227561,0.003190129,0.0007759029,0.003216343],"category_scores_gemma":[0.0004327795,0.001071521,0.0001669325,0.0010192,0.0001916049,0.0008915868,0.0008108645,0.001240159,0.03567553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003553176,"about_ca_system_score_gemma":0.0009987769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002584242,"about_ca_topic_score_gemma":0.0009250319,"domain_scores_codex":[0.9944441,0.0002549962,0.001211574,0.001839345,0.001361582,0.0008884479],"domain_scores_gemma":[0.9904782,0.0001346257,0.0008343169,0.008081506,0.0001761202,0.0002952396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006554606,0.0002871375,0.00002014786,0.0003871713,0.0002396013,0.0003172281,0.000001822056,0.00001263167,0.0001042403,0.000002820969,0.9984392,0.0001224412],"study_design_scores_gemma":[0.0005703075,0.00004021856,0.00003818355,0.000285728,0.0007276483,0.00002878707,0.000003804122,0.00000612614,0.0004757736,0.00001680047,0.9968356,0.000971003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001193497,0.000116556,0.0000337185,0.00006683303,0.003446824,0.0008862533,0.9949799,0.0002018725,0.0002561527],"genre_scores_gemma":[0.000001077698,0.0002069912,0.0001513004,0.0007500488,0.0009606289,0.0001651305,0.9964077,0.00008542399,0.001271698],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03245918,"threshold_uncertainty_score":0.9991735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300977078362474,"score_gpt":0.382984034084344,"score_spread":0.3399742633007193,"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."}}