{"id":"W2292506222","doi":"","title":"End-User DLP Projector Colour Calibration","year":2005,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Digital Light Processing; Projector; Masking (illustration); RGB color model; Computer science; Computer vision; Artificial intelligence; Calibration; Computer graphics (images); Perspective (graphical); Mathematics; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003426131,0.00004027809,0.00003639393,0.00001521391,0.00007942243,0.0000389006,0.00007832885,0.000007382272,0.003617113],"category_scores_gemma":[5.659056e-7,0.00003262032,0.00002367839,0.0001141742,0.00001546144,0.0001708744,0.00001698658,0.00003036992,0.0002628758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007460024,"about_ca_system_score_gemma":0.00003943232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009132465,"about_ca_topic_score_gemma":0.00003924525,"domain_scores_codex":[0.9996653,0.000004692914,0.00006994369,0.0001034369,0.0000604232,0.00009620242],"domain_scores_gemma":[0.9998218,0.00001078927,0.00001936086,0.00009993641,0.00001573293,0.0000323786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003186067,0.0002364226,0.0322034,0.000001231638,0.00001160868,9.689526e-8,0.0003337337,0.0002766186,0.009203136,0.8451852,0.04157037,0.07097498],"study_design_scores_gemma":[0.0003323332,0.00003556045,0.0103227,0.000002630429,0.00001084935,4.320399e-7,0.00054105,0.02578161,0.04661902,0.002796295,0.9133221,0.0002354148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7885286,0.000003537533,0.03532214,0.005940453,0.00004666499,0.000353125,0.00001372631,0.00008180294,0.1697099],"genre_scores_gemma":[0.9862527,1.538268e-7,0.00187344,0.0001847578,0.0002463537,0.00006844164,0.00001098648,0.000002768269,0.01136038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8717517,"threshold_uncertainty_score":0.9972937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004766221450833,"score_gpt":0.262657368209931,"score_spread":0.2526097059954227,"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."}}