{"id":"W4232154981","doi":"10.1145/1239451.1239490","title":"Ldr2Hdr","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer graphics (images); High dynamic range; Multimedia; Dynamic range; Computer vision; Artificial intelligence","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":[0.00007995356,0.0001106579,0.00008152136,0.0002269565,0.00007257605,0.00001149493,0.0002415421,0.0001002494,0.00002154228],"category_scores_gemma":[0.00003494232,0.0001139274,0.00005784832,0.0004752412,0.0001017718,0.0001033846,0.000002465215,0.0003929847,0.00005060062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002973489,"about_ca_system_score_gemma":0.000002612049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000137942,"about_ca_topic_score_gemma":0.0000140215,"domain_scores_codex":[0.9994007,0.000002407537,0.0001267133,0.0001146649,0.0001078711,0.0002476182],"domain_scores_gemma":[0.9992917,0.0001475599,0.000007259578,0.0004824132,0.00002180711,0.00004929775],"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":[0.0000506075,0.0003119678,0.0005299903,0.0001305831,0.0002648178,0.0000961204,0.0002462516,0.08427081,0.01619294,0.04112222,0.001226574,0.8555571],"study_design_scores_gemma":[0.001545012,0.0003495218,0.008053853,0.0001275673,0.0001540923,0.0000971512,0.0006546499,0.02235956,0.46841,0.3917505,0.1045071,0.001990946],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0171736,0.00009781591,0.977996,0.0003507447,0.0002633824,0.000063798,0.000004698445,0.002382526,0.001667421],"genre_scores_gemma":[0.9320668,0.0002033804,0.06751654,0.0001271386,0.00001211339,0.000007474888,9.604574e-7,0.00002871484,0.00003688569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9148932,"threshold_uncertainty_score":0.4645826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540883280576609,"score_gpt":0.2524845077647274,"score_spread":0.2370756749589613,"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."}}