{"id":"W1583095495","doi":"10.1007/11499145_26","title":"Joint Spatial-Temporal Color Demosaicking","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Microsoft Research Asia","keywords":"Demosaicing; Artificial intelligence; Computer science; Computer vision; Bayer filter; Joint (building); Color filter array; Color image; Pattern recognition (psychology); Color gel; Image (mathematics); Image processing","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":[0.0004082927,0.0008166828,0.0005360296,0.0007232488,0.0002513552,0.0008672849,0.0006164608,0.0005293062,0.005372673],"category_scores_gemma":[0.0008638934,0.0003717239,0.0006835034,0.001209702,0.0003406642,0.00083563,0.0008190809,0.000604744,0.00329195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002504116,"about_ca_system_score_gemma":0.0006809417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909417,"about_ca_topic_score_gemma":0.005832612,"domain_scores_codex":[0.9997489,0.00001916717,0.0000119001,0.00004074985,0.0001520559,0.00002723804],"domain_scores_gemma":[0.9996606,0.00004552831,0.00002009946,0.0001092385,0.0001462431,0.00001821284],"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":[0.0002321858,0.0000809944,0.0006809015,0.0002168682,0.0001046834,0.0001239516,0.00005988965,0.05060143,0.2228409,0.01851126,0.009681907,0.696865],"study_design_scores_gemma":[0.00001624063,0.00006383678,0.002133251,0.00003299756,0.0001015707,0.001004772,0.00005773716,0.7319155,0.2194582,0.01619055,0.02897185,0.00005355849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002894014,0.0002281253,0.99223,0.00005408403,0.00008812593,0.00001098128,0.0001153457,0.0005604102,0.003818855],"genre_scores_gemma":[0.06554714,0.0009869296,0.9145362,0.00008390654,0.00005742122,0.00002424719,0.0005891363,0.0003295517,0.01784541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005372673,"threshold_uncertainty_score":0.01797336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982015481288668,"score_gpt":0.2700650970512459,"score_spread":0.2402449422383592,"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."}}