{"id":"W2323994318","doi":"10.5594/m001406","title":"Sensitivity to Monocular Occlusions in Stereoscopic Imagery: Implications for S3D Content Creation, Distribution and Exhibition","year":2010,"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":"Monocular; Stereoscopy; Computer vision; Artificial intelligence; Sensitivity (control systems); Computer science; Exhibition; Computer graphics (images); Content (measure theory); Mathematics; Art; Visual arts; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192685,0.0003232521,0.0005039304,0.0006903273,0.0004891278,0.001888076,0.000464983,0.000630711,0.002086898],"category_scores_gemma":[0.01097507,0.0003245355,0.0003110132,0.0008735145,0.001245999,0.001719712,0.001169236,0.0005589232,0.0003049725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017903,"about_ca_system_score_gemma":0.0003388867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333505,"about_ca_topic_score_gemma":0.001417443,"domain_scores_codex":[0.9992054,0.000143072,0.00003118772,0.0001220761,0.0003905273,0.000107622],"domain_scores_gemma":[0.9949809,0.002763101,0.0009173175,0.000585153,0.0005697198,0.0001838201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00191683,0.0001971183,0.02837978,0.0009976602,0.0001942416,0.001556138,0.002128494,0.1574013,0.3911295,0.06786323,0.004793333,0.3434424],"study_design_scores_gemma":[0.00008869075,0.0007520762,0.1398822,0.0001825189,0.0001403735,0.004550078,0.001492031,0.5448942,0.1930419,0.1031397,0.01158445,0.000251791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.637444,0.003608874,0.3252135,0.00197789,0.0001963656,0.0001244622,0.0006542631,0.0008569123,0.02992378],"genre_scores_gemma":[0.9757065,0.001142093,0.02146058,0.0001246822,0.00006043375,0.00002403446,0.0001643181,0.00007901495,0.001238368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333505,"threshold_uncertainty_score":0.007385433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860890718025108,"score_gpt":0.2728072390207458,"score_spread":0.2541983318404947,"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."}}