{"id":"W2061745545","doi":"10.1111/j.1467-8659.2012.03027.x","title":"Metering for Exposure Stacks","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada)","funders":"","keywords":"High dynamic range; Computer science; Computer vision; Histogram; Set (abstract data type); Artificial intelligence; Irradiance; Range (aeronautics); Metering mode; Sequence (biology); Image quality; Image (mathematics); Computer graphics (images); Dynamic range; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643397,0.0006320107,0.0004796009,0.0007231468,0.0003950111,0.0009509618,0.0008202544,0.0004176295,0.01028995],"category_scores_gemma":[0.001893708,0.000466397,0.0004328431,0.0006017134,0.0002475471,0.001488272,0.0009808382,0.0008664998,0.001531161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080269,"about_ca_system_score_gemma":0.000265603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005089712,"about_ca_topic_score_gemma":0.0007197428,"domain_scores_codex":[0.9995783,0.00008604198,0.00002615565,0.000108969,0.0001554177,0.00004506517],"domain_scores_gemma":[0.9993629,0.0001623226,0.00006706436,0.0002173716,0.0001568063,0.00003356524],"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":[0.0005136583,0.0001796404,0.004839875,0.0004136175,0.00009000719,0.0002447825,0.0003716696,0.03162514,0.3296005,0.01114777,0.00653438,0.614439],"study_design_scores_gemma":[0.00007703462,0.0005604036,0.01538457,0.0001222347,0.0001597332,0.001024107,0.0003631774,0.3050926,0.5866655,0.01753573,0.07286758,0.0001473749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07764974,0.0005130474,0.9071499,0.0001828753,0.0001214746,0.0001709013,0.0003116301,0.005157321,0.008743092],"genre_scores_gemma":[0.4197015,0.0003126201,0.5740727,0.0001138668,0.00005270885,0.00009948841,0.0004689707,0.0006430093,0.004535233],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01028995,"threshold_uncertainty_score":0.03442329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104261415426485,"score_gpt":0.2653379218052852,"score_spread":0.2442953076510204,"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."}}