{"id":"W2807055332","doi":"10.1002/sdtp.12549","title":"25‐1: <i>Invited Paper:</i> Progress in Active Pixel Technology for LED Video Walls","year":2018,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Christie (Canada); University of Waterloo","funders":"Mitacs","keywords":"Pixel; Computer science; Computer vision; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005856209,0.0005884018,0.0002653277,0.0004449287,0.00108647,0.002651277,0.0009019623,0.001929964,0.01901229],"category_scores_gemma":[0.0005032927,0.0002398062,0.0003866836,0.0003017376,0.0005496261,0.001132715,0.0005875668,0.001596142,0.007741851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179282,"about_ca_system_score_gemma":0.0009909241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424884,"about_ca_topic_score_gemma":0.004400606,"domain_scores_codex":[0.9995677,0.00003265847,0.000009970459,0.00009267995,0.000199832,0.00009712044],"domain_scores_gemma":[0.999698,0.00004636726,0.00001915112,0.00001557389,0.0001397214,0.00008121218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006020485,0.0001974577,0.0008494691,0.0006726689,0.00003712785,0.001568507,0.0003527309,0.0009168577,0.1610604,0.0166395,0.726994,0.0901092],"study_design_scores_gemma":[0.00003831041,0.0003213628,0.001126872,0.00006628307,0.00003126738,0.0003904461,0.0001648107,0.001235087,0.1541725,0.001468682,0.8409299,0.00005459019],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.123088,0.07124516,0.04648508,0.106562,0.1443306,0.001310823,0.002901945,0.002847935,0.5012285],"genre_scores_gemma":[0.2094363,0.02244048,0.01612141,0.009730887,0.01908925,0.0003678706,0.001452896,0.0008052327,0.7205557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901229,"threshold_uncertainty_score":0.06360251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546258504819207,"score_gpt":0.2356993063762436,"score_spread":0.2291530478714243,"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."}}