{"id":"W4377997021","doi":"10.2352/cic.2001.9.1.art00063","title":"DLP Cinema™ Technology: Color Management and Signal Processing","year":2001,"lang":"en","type":"article","venue":"Color and Imaging Conference","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Movie theater; Color management; Projection (relational algebra); Computer science; Computer graphics (images); Digital Light Processing; Computer vision; Art; Art history; Color space","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001677368,0.0008761616,0.000402494,0.0015307,0.0009029864,0.003882565,0.001199004,0.001341136,0.05970107],"category_scores_gemma":[0.001946661,0.0006099793,0.000184324,0.00156348,0.000966467,0.002077882,0.001390085,0.002224212,0.0186423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308467,"about_ca_system_score_gemma":0.0008728498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879511,"about_ca_topic_score_gemma":0.003515632,"domain_scores_codex":[0.9991459,0.0001157589,0.00002552935,0.00013119,0.000500456,0.00008113597],"domain_scores_gemma":[0.9992433,0.0002142367,0.000039701,0.00009144943,0.0003148481,0.00009658634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004656369,0.0001272743,0.0006403119,0.0003080563,0.00001669594,0.0004804512,0.000792753,0.001036516,0.07503517,0.03685481,0.1739756,0.7102666],"study_design_scores_gemma":[0.0000554289,0.0002712325,0.001511945,0.00006750661,0.00001520457,0.001410517,0.0001664648,0.008312627,0.0589103,0.003164204,0.9260632,0.00005139513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02330662,0.009223376,0.6630061,0.004299845,0.002272463,0.000815322,0.001821756,0.01186649,0.2833879],"genre_scores_gemma":[0.1229981,0.007359019,0.327401,0.001051355,0.0008671291,0.0004332041,0.002236958,0.001385564,0.5362677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05970107,"threshold_uncertainty_score":0.19972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162673089786167,"score_gpt":0.286476841879521,"score_spread":0.2648501109816594,"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."}}