{"id":"W2345912107","doi":"10.1007/s00542-016-2955-7","title":"Micromirror based virtual image automotive head-up display","year":2016,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Head-up display; Digital micromirror device; Reflector (photography); Optics; Computer science; Actuator; Virtual image; Laser; Automotive industry; Engineering; Physics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001604217,0.0004768378,0.0004910175,0.0003616053,0.0001185131,0.00008531663,0.001044097,0.0003991726,0.0000179673],"category_scores_gemma":[0.0007157109,0.0003311597,0.0001339919,0.0004505097,0.000791992,0.000392217,0.0003441978,0.0003913514,0.0005595457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050156,"about_ca_system_score_gemma":0.0000261398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005229232,"about_ca_topic_score_gemma":0.00002049507,"domain_scores_codex":[0.9979604,0.00001920398,0.0004599518,0.0005540978,0.0001993811,0.0008069398],"domain_scores_gemma":[0.9982874,0.000329635,0.00008080881,0.001117808,0.0001387253,0.00004564445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001189051,0.00002093507,0.0002787625,0.0001060298,0.00003688202,0.00003665803,0.00002243514,0.00003608486,0.9755768,0.002589062,0.002118691,0.01916573],"study_design_scores_gemma":[0.0007792938,0.00007711461,0.0002267869,0.0004473621,0.00001672864,0.00003296162,0.0007220939,0.0009681577,0.9874451,0.001748749,0.006959467,0.0005761629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814364,0.0009503825,0.2561449,0.00380982,0.0009770259,0.00071807,0.0002974244,0.05509909,0.0005668282],"genre_scores_gemma":[0.9461043,0.00007153524,0.05312445,0.00002379934,0.0000141598,0.000151934,0.000004765325,0.0001004138,0.0004046781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2646678,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008456764337537207,"score_gpt":0.2336568947789679,"score_spread":0.2252001304414307,"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."}}