{"id":"W2013133372","doi":"10.1364/josaa.17.002108","title":"Diagonal versus affine transformations for color correction","year":2000,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diagonal; Affine transformation; Sharpening; Transformation (genetics); Diagonal matrix; Matrix (chemical analysis); Transformation matrix; Optics; Computer science; Mathematics; Physics; Pure mathematics; Artificial intelligence; Geometry; Materials science; Classical mechanics","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":[0.0009442605,0.000758683,0.0003685478,0.0007821915,0.0004835362,0.001340745,0.001264755,0.000943607,0.01156806],"category_scores_gemma":[0.00404297,0.000268128,0.0006634122,0.001022015,0.001051552,0.002082892,0.001251169,0.001667329,0.004913268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005294901,"about_ca_system_score_gemma":0.0006379347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316511,"about_ca_topic_score_gemma":0.001477817,"domain_scores_codex":[0.9988995,0.000226338,0.00005690188,0.0002454616,0.0004773451,0.00009440086],"domain_scores_gemma":[0.9984379,0.0003255078,0.0001373185,0.0006797462,0.0003651945,0.00005428142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000243153,0.0001005222,0.001026912,0.0002581606,0.00004867199,0.00009922458,0.0001962825,0.02579103,0.06947922,0.5874268,0.01240943,0.3029207],"study_design_scores_gemma":[0.00007252456,0.0001717862,0.001657803,0.00008776744,0.00006898136,0.000728295,0.0001845796,0.488384,0.1421116,0.2622471,0.1041378,0.0001478071],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00563843,0.0004909351,0.9772452,0.0003788003,0.0002719384,0.00004841105,0.000152886,0.001758657,0.01401471],"genre_scores_gemma":[0.2370124,0.001680464,0.7313819,0.0006385533,0.0002725663,0.0001684585,0.000479818,0.00198738,0.02637847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01156806,"threshold_uncertainty_score":0.03869903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036262840209904,"score_gpt":0.2650462407011181,"score_spread":0.254683612299019,"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."}}