{"id":"W4309505472","doi":"10.1145/3562939.3565684","title":"Colorimetry Evaluation for Video Mapping Rendering","year":2022,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Society for Arts and Technology","funders":"","keywords":"Computer science; Rendering (computer graphics); Workflow; Colorimetry; Visualization; Software; Artificial intelligence; Computer graphics (images); Computer vision; Multimedia; Database","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":[0.00171179,0.0000507844,0.00006695777,0.00007732823,0.0003296123,0.00008894347,0.0003892742,0.000007819728,0.0001209169],"category_scores_gemma":[0.00005389578,0.00005378807,0.00003527784,0.0002640475,0.000004613833,0.0002977095,0.0003668625,0.00006074276,0.000008163972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686897,"about_ca_system_score_gemma":0.0001170255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002389816,"about_ca_topic_score_gemma":0.00000213137,"domain_scores_codex":[0.9989628,0.000111486,0.0001467582,0.0002260635,0.0004002771,0.0001525764],"domain_scores_gemma":[0.9994729,0.0001157009,0.00005332876,0.0002656763,0.00006780892,0.00002456097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002507122,0.0003483517,0.0004144131,0.00009882377,0.000103654,0.00000946215,0.00486921,0.007159784,0.02311587,0.4595737,0.06726877,0.4370129],"study_design_scores_gemma":[0.0006242778,0.000187386,0.0006797624,0.00000330073,0.000008117011,0.000009132728,0.001028669,0.8623559,0.005179701,0.01563103,0.114109,0.0001836852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003859719,0.00005659317,0.9887517,0.001454105,0.0004568256,0.0003397895,0.000001288698,0.0001106246,0.00496933],"genre_scores_gemma":[0.8265046,4.907479e-7,0.1701157,0.002234187,0.00005920781,0.0004117404,0.000006491993,0.000005378737,0.0006621922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8551962,"threshold_uncertainty_score":0.2535145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140315354812671,"score_gpt":0.3592165268258661,"score_spread":0.245184991344599,"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."}}