{"id":"W2125076267","doi":"10.1109/icpr.2006.1032","title":"Seeing Around Occluding Objects","year":2006,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer vision; Artificial intelligence; Pixel; Computer science; Classification of discontinuities; Radiance; Focus (optics); Projection (relational algebra); Contrast (vision); Object (grammar); Image plane; Intensity (physics); Image (mathematics); Mathematics; Optics; Algorithm; Physics","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":[0.0000285567,0.00005228358,0.00004157162,0.00002796759,0.00005395372,0.00004540481,0.00005444521,0.00002304407,0.00002079096],"category_scores_gemma":[0.000001473898,0.00005135668,0.00001511876,0.0001013808,0.000007853163,0.00007519881,0.00001010644,0.00004717999,0.00003410984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002125233,"about_ca_system_score_gemma":0.000002970106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000259401,"about_ca_topic_score_gemma":0.000006185186,"domain_scores_codex":[0.9997182,0.000001063693,0.00007181276,0.000060975,0.00003793684,0.0001099658],"domain_scores_gemma":[0.9998786,0.000007739414,0.000006113964,0.00008482198,0.00001068946,0.00001206519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002297855,0.0001047004,0.00385494,0.0003692584,0.00003493885,0.0000214113,0.0002613277,0.03934801,0.6184173,0.1278052,0.1384073,0.07137335],"study_design_scores_gemma":[0.0001960679,0.000009765388,0.001086368,0.00006012688,0.00001635819,0.00003062137,0.0001090447,0.3936817,0.4908965,0.04015964,0.07317153,0.0005823399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03149466,0.0002276005,0.5818593,0.00005095832,0.00003821518,0.00006284974,7.002571e-7,0.002253618,0.3840121],"genre_scores_gemma":[0.9504485,0.000005032748,0.04862291,0.0000272173,0.00007891804,0.00001484324,0.000002915162,0.00001411028,0.0007855419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9189538,"threshold_uncertainty_score":0.2094265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008974130844480014,"score_gpt":0.2264457720309253,"score_spread":0.2174716411864453,"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."}}