{"id":"W2036959650","doi":"10.1145/1778765.1778766","title":"The Frankencamera","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada)","funders":"National Science Foundation","keywords":"Computer science; Pipeline (software); Photography; Computational photography; Software; Computer graphics (images); Synchronization (alternating current); Implementation; Computer hardware; Architecture; Embedded system; Image processing; Real-time computing; Computer vision; Image (mathematics); Operating system","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":[0.0001589765,0.00008675282,0.00005537739,0.00008552464,0.0007832251,0.0001411192,0.00113579,0.00004130883,0.00002031196],"category_scores_gemma":[0.00004323655,0.00005969301,0.00008218495,0.0005027653,0.0001150963,0.0003178125,0.00001039385,0.000585635,0.00005849787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003551601,"about_ca_system_score_gemma":0.0000238005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005438718,"about_ca_topic_score_gemma":0.0000409223,"domain_scores_codex":[0.9992725,0.00002063957,0.0001159635,0.0002012295,0.0001985222,0.0001911986],"domain_scores_gemma":[0.9983993,0.0003012769,0.00002931653,0.001142489,0.00005687409,0.00007080633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003260661,0.00005046283,0.00003223186,0.000001042533,0.000009526265,0.000002020704,0.0001411332,0.00003228701,0.001693622,0.07066429,0.0002758632,0.9270943],"study_design_scores_gemma":[0.0006590731,0.000149432,0.003370083,0.00001802268,0.00001398434,0.00005917337,0.00009788026,0.07939276,0.01176591,0.269518,0.6344486,0.0005070088],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001196091,0.00003471805,0.9865581,0.01023389,0.001129422,0.00006364827,0.000001155129,0.0001724323,0.0006105391],"genre_scores_gemma":[0.8540499,0.0003230382,0.1420966,0.00311434,0.00004046325,0.00002239351,3.342341e-7,0.00001230779,0.0003406295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9265872,"threshold_uncertainty_score":0.6024013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113252486091668,"score_gpt":0.268082055351103,"score_spread":0.2569495304901863,"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."}}