{"id":"W2146782705","doi":"10.1109/icip.2007.4379997","title":"Camera Response Function Recovery from Auto-Exposure Cameras","year":2007,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Superposition principle; Computer science; Computer vision; Function (biology); Artificial intelligence; Property (philosophy); Ambiguity; Homogeneity (statistics); Algorithm; Mathematics; Machine learning; Mathematical analysis","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":[0.001143888,0.000145452,0.0001272903,0.0001658226,0.00009710936,0.0001418017,0.0005250804,0.000089885,0.0002606869],"category_scores_gemma":[0.00009380365,0.0001357095,0.00006047321,0.0003570329,0.0000301332,0.0008550482,0.0001735287,0.0001558951,0.0002881486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173489,"about_ca_system_score_gemma":0.0000671809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003266728,"about_ca_topic_score_gemma":0.00005628773,"domain_scores_codex":[0.9985736,0.0001050492,0.0002681749,0.0004213758,0.0003124902,0.00031931],"domain_scores_gemma":[0.9987468,0.00028395,0.00008276622,0.0007234305,0.00008650307,0.00007657302],"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":[0.0009264714,0.0001553645,0.001491177,0.000004407655,0.00006125698,0.0001075129,0.0005718758,0.000008052538,0.3815205,0.005876702,0.05941611,0.5498605],"study_design_scores_gemma":[0.0008364227,0.001562326,0.1317089,0.00004559785,0.00002157391,0.00001626058,0.0001092578,0.003401382,0.7119176,0.01099055,0.1385237,0.000866514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069305,0.00008663021,0.8834326,0.0005852758,0.0006366461,0.0001399185,0.00000163183,0.001136652,0.007050123],"genre_scores_gemma":[0.7473091,0.0000118792,0.2429584,0.002774175,0.0001376429,0.00001190551,0.000005800399,0.00001410801,0.006777027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6404743,"threshold_uncertainty_score":0.5534075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009315842196969676,"score_gpt":0.2402606286902578,"score_spread":0.2309447864932881,"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."}}