{"id":"W1985935942","doi":"10.1109/ic3d.2011.6584389","title":"On the distinction between perceived &amp;amp; predicted depth in S3D films","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Depth perception; Binocular disparity; Computer vision; Parallax; Stereoscopy; Computer science; Artificial intelligence; Vergence (optics); Binocular vision; Computer graphics (images); Projector; Augmented reality; Stereopsis; Perception; Psychology","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":[0.00005785127,0.0001187157,0.0001057104,0.00006582851,0.00003129278,0.00001133061,0.0001992539,0.00007700236,0.0003465721],"category_scores_gemma":[0.0003219901,0.00008006895,0.0000239585,0.000181051,0.00008396161,0.00008873,0.00004676646,0.0002920693,0.0002363479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004437508,"about_ca_system_score_gemma":0.00000245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003001684,"about_ca_topic_score_gemma":0.0001386512,"domain_scores_codex":[0.9994168,0.00001188403,0.0001419528,0.0001333327,0.00008631685,0.0002097095],"domain_scores_gemma":[0.999454,0.0001588515,0.00001195647,0.0003341619,0.00001444601,0.00002664552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002324153,0.0007359642,0.4845837,0.0003163083,0.0005643791,0.00004808407,0.009623415,0.04278865,0.05438137,0.1484299,0.0807196,0.1775762],"study_design_scores_gemma":[0.0004471597,0.00005100898,0.9394048,0.00008091546,0.00002587257,0.000003187001,0.0003999848,0.0133602,0.006027246,0.03706735,0.002635148,0.0004971379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013854,0.000008349658,0.1496117,0.0001250014,0.00008351226,0.0001687754,0.000006437893,0.002122239,0.04648852],"genre_scores_gemma":[0.9629736,0.000007646676,0.03663901,0.00002475131,0.00001338993,0.00002281159,0.00001156627,0.0000219166,0.000285317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4548211,"threshold_uncertainty_score":0.3794722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05620150936318783,"score_gpt":0.2508885867985695,"score_spread":0.1946870774353816,"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."}}