{"id":"W155985344","doi":"","title":"Validation and Decomposition of Partially Occluded Images with Holes","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences","funders":"","keywords":"Computer vision; Set (abstract data type); Artificial intelligence; Image (mathematics); Computer science; Object (grammar); Range (aeronautics); Decomposition; Alphabet; Pattern recognition (psychology); Mathematics","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":[0.002627937,0.001516112,0.001538751,0.001780919,0.0004082175,0.001714166,0.0009582804,0.002170007,0.001745065],"category_scores_gemma":[0.008873523,0.0007211067,0.001459505,0.000791102,0.001283189,0.001255344,0.001680783,0.001343578,0.0006684057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498264,"about_ca_system_score_gemma":0.000892596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270773,"about_ca_topic_score_gemma":0.001875092,"domain_scores_codex":[0.9982279,0.0003634522,0.00008586832,0.0004400753,0.0005992709,0.0002833626],"domain_scores_gemma":[0.9954164,0.001841072,0.0004312607,0.000976186,0.001085486,0.0002495607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002754803,0.0002968505,0.005618835,0.000637466,0.0002795976,0.0007115799,0.0004557989,0.2522297,0.2454435,0.005551838,0.003238235,0.482782],"study_design_scores_gemma":[0.00002062613,0.00009977468,0.001838284,0.00004085831,0.00003752052,0.0002191704,0.00007684943,0.9711558,0.02338901,0.002298261,0.0008133822,0.00001045606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289381,0.0003274977,0.8688028,0.0001164726,0.00007370437,0.00006831905,0.0002038582,0.0009402578,0.000529059],"genre_scores_gemma":[0.6254457,0.0002884112,0.3711016,0.00007089438,0.00005007197,0.00004572621,0.001280718,0.0003365189,0.001380408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00270773,"threshold_uncertainty_score":0.01389802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176871308966798,"score_gpt":0.2490894222464412,"score_spread":0.2373207091567732,"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."}}