{"id":"W2056176311","doi":"10.1006/cviu.2000.0899","title":"Depth from Defocus Estimation in Spatial Domain","year":2001,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematics; Image (mathematics); Polynomial; Computer vision; Computation; Artificial intelligence; Hermite polynomials; Algorithm; Function (biology); Domain (mathematical analysis); Computer science; Mathematical analysis","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":[0.00007082232,0.0001030155,0.0001016405,0.0001043967,0.0000808114,0.0001565369,0.00006793482,0.00004504783,0.00001720206],"category_scores_gemma":[0.00000261496,0.000100548,0.00001573161,0.0001508902,0.00003195087,0.0002339112,0.000039542,0.0001002989,0.000006275252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076846,"about_ca_system_score_gemma":0.000004865379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003545445,"about_ca_topic_score_gemma":0.00003468398,"domain_scores_codex":[0.9994806,0.00001062245,0.000148903,0.0001521659,0.00007022744,0.0001375022],"domain_scores_gemma":[0.9997939,0.00003296543,0.00001855562,0.000103021,0.000009070421,0.00004249031],"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":[0.00005244267,0.0001325953,0.002047902,0.0001373966,0.00002534762,0.0001264109,0.001925578,0.004323354,0.03261286,0.009325167,0.00696245,0.9423285],"study_design_scores_gemma":[0.0003884454,0.00002344808,0.001434,0.0001066923,0.00000389441,0.00001348122,0.00007483372,0.9481374,0.000741651,0.04834158,0.0005722071,0.0001623737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03371389,0.0001217911,0.9641187,0.0001375381,0.0000612603,0.00009153331,0.00000212706,0.0002773395,0.001475789],"genre_scores_gemma":[0.7823611,0.0000672313,0.21746,0.00003909056,0.00003839642,0.000004712925,0.00001207499,0.00001356622,0.000003792533],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.943814,"threshold_uncertainty_score":0.410023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023899713695293,"score_gpt":0.2635687435274636,"score_spread":0.2433297463905106,"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."}}