{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000673085,0.0007397995,0.0004315792,0.001130207,0.001195161,0.002781506,0.001650636,0.0008467021,0.01930933],"category_scores_gemma":[0.003124061,0.0006427979,0.0006528943,0.0009021359,0.0008318424,0.003572669,0.002942848,0.001362198,0.008119327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055441,"about_ca_system_score_gemma":0.001815564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006435836,"about_ca_topic_score_gemma":0.008338286,"domain_scores_codex":[0.9988558,0.0001056427,0.00007062308,0.0003377258,0.0004424137,0.0001877794],"domain_scores_gemma":[0.9987011,0.0001622948,0.00007841121,0.0004725501,0.0004518433,0.0001337506],"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":[0.0007358802,0.0001120314,0.003600545,0.0003224202,0.00004702225,0.0004235195,0.001379216,0.005046792,0.02706503,0.2435712,0.06943372,0.6482627],"study_design_scores_gemma":[0.00007171052,0.0001454161,0.002495116,0.0002182885,0.00005497031,0.001188609,0.0002481486,0.03462975,0.03658425,0.03682399,0.8874125,0.0001272511],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03422578,0.001221114,0.7407088,0.000852368,0.0004825142,0.000387882,0.001046703,0.04255135,0.1785235],"genre_scores_gemma":[0.2219066,0.001254485,0.6602825,0.0006060695,0.00009092877,0.0003511527,0.002283486,0.006239426,0.1069853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01930933,"threshold_uncertainty_score":0.06459618,"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."}}