{"id":"W2903299432","doi":"10.1145/3272127.3275047","title":"P <scp>aparazzi</scp>","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs; Autodesk","keywords":"Computer science; Rendering (computer graphics); Bespoke; Image processing; Vertex (graph theory); Pipeline (software); Computer vision; Artificial intelligence; Digital image processing; Computer graphics (images); Image (mathematics); Theoretical computer science; Graph","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002592932,0.0002024449,0.0001587796,0.0006148288,0.0004765981,0.0002250267,0.00154897,0.000137528,0.00001060191],"category_scores_gemma":[0.00003864737,0.0002024359,0.0001686028,0.001894265,0.0001765674,0.0004000292,0.00003634569,0.0002611492,0.00007106096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001615278,"about_ca_system_score_gemma":0.00005033481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000174316,"about_ca_topic_score_gemma":0.00003160552,"domain_scores_codex":[0.9985055,0.00006688135,0.0002661771,0.0004846714,0.0003563566,0.0003203611],"domain_scores_gemma":[0.997822,0.0002618728,0.00008006287,0.001432274,0.0002625198,0.0001412146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001835459,0.0002838928,0.0001565135,0.00001064304,0.0000524878,0.000005042187,0.000811163,0.00000681974,0.0001352779,0.9636377,0.004947094,0.02995155],"study_design_scores_gemma":[0.0008218769,0.0018446,0.004910064,0.0001001106,0.00004696907,0.00006635311,0.00005995785,0.1295425,0.06134819,0.4775571,0.3232272,0.0004751016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005329238,0.0000371557,0.9908686,0.000390528,0.0006156011,0.0001583932,0.000006173978,0.0009753254,0.001618987],"genre_scores_gemma":[0.9520987,0.0002949132,0.04407632,0.002988099,0.0001275506,0.0000476097,0.000003501124,0.00002818634,0.0003351338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9467922,"threshold_uncertainty_score":0.8255097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807383014793371,"score_gpt":0.293906979483483,"score_spread":0.2658331493355493,"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."}}