{"id":"W1997601956","doi":"10.1145/2602222","title":"PROPANE","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs","keywords":"Rendering (computer graphics); Computer science; Panorama; Computer graphics (images); Pixel; Real-time computing; Artificial intelligence","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":[0.000262751,0.0001559154,0.0001509492,0.0001631168,0.001094473,0.0001383942,0.002029436,0.00004734627,0.000006707322],"category_scores_gemma":[0.00004491564,0.0001543441,0.00005437464,0.0005177213,0.0001849735,0.0002490942,0.0001587512,0.0003282095,0.00009253882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000245024,"about_ca_system_score_gemma":0.00002635749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001259967,"about_ca_topic_score_gemma":0.000004850583,"domain_scores_codex":[0.998853,0.0001086862,0.0002852693,0.0003853896,0.0001471963,0.0002204975],"domain_scores_gemma":[0.9954526,0.0009072443,0.0001002836,0.003285448,0.0001093239,0.0001451435],"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":[6.94332e-7,0.0001410464,0.00002518923,0.00000467715,0.000007161203,4.612617e-8,0.0001895542,0.000187477,0.0004408268,0.01478027,0.00001816103,0.9842049],"study_design_scores_gemma":[0.0003602586,0.00004845312,0.0004656956,0.00003113655,0.0000111337,0.00001398564,0.0000586034,0.8890043,0.0004886664,0.007027715,0.1022617,0.0002283477],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001214463,0.000126934,0.9916372,0.005764673,0.00005445125,0.0003569673,0.000003457241,0.000428404,0.001506436],"genre_scores_gemma":[0.4213625,0.000180072,0.5777952,0.000445834,0.00002619376,0.0001010031,0.000006324375,0.00001016209,0.0000727731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9839765,"threshold_uncertainty_score":0.8417911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163197387779113,"score_gpt":0.301141498693239,"score_spread":0.2795095248154478,"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."}}