{"id":"W4414788925","doi":"10.1007/s11760-025-04824-y","title":"A clustering model to study viewers’ eye conditions in viewing stereoscopic 3D maps","year":2025,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Stereoscopy; Cluster analysis; Perspective (graphical); Virtual reality; Human eye; Product (mathematics); Human visual system model","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":[0.000162856,0.0001954097,0.0002591862,0.0003088584,0.0001293427,0.0001642667,0.0001631594,0.00005105461,0.000005070654],"category_scores_gemma":[0.0000857246,0.0002018338,0.0000200042,0.0004915245,0.00005865885,0.0005625741,0.0001899161,0.0002691118,0.00000545674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007047973,"about_ca_system_score_gemma":0.00002271862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003522016,"about_ca_topic_score_gemma":0.00001080297,"domain_scores_codex":[0.9989736,0.00001784616,0.0002952512,0.0002922998,0.00009450904,0.000326469],"domain_scores_gemma":[0.9996703,0.00004761859,0.00002079775,0.0001650549,0.00004609346,0.00005010393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004255013,0.0003074861,0.007893945,0.002149099,0.0001028253,0.0001716823,0.007418723,0.2620834,0.1720558,0.0001284731,0.0002892078,0.5473568],"study_design_scores_gemma":[0.0007573243,0.00005002057,0.001192771,0.001257738,0.00004757187,0.000003021728,0.001989575,0.9820972,0.006725228,0.005391069,0.00008931621,0.0003991725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2129084,0.001019806,0.7837676,0.0001708516,0.00004131136,0.000361245,0.000004402351,0.0005421857,0.001184174],"genre_scores_gemma":[0.8988197,0.00001892487,0.1007885,0.0001856374,0.000009795202,0.00009888807,0.00000178622,0.00002391645,0.00005278861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7200137,"threshold_uncertainty_score":0.8230542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910416218971498,"score_gpt":0.3123950511781272,"score_spread":0.2932908889884122,"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."}}