{"id":"W4381995707","doi":"10.1002/lpor.202200936","title":"Terahertz Scanless Hypertemporal Imaging","year":2023,"lang":"en","type":"article","venue":"Laser & Photonics Review","topic":"Terahertz technology and applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Terahertz radiation; Raster scan; Computer science; Raster graphics; Optics; Pixel; Time domain; Bottleneck; Physics; Artificial intelligence; Computer vision","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":[0.0001494444,0.0002036024,0.0001809532,0.000319718,0.00008468538,0.0004660418,0.0003907988,0.0003502163,0.002010824],"category_scores_gemma":[0.0002139453,0.0001681838,0.0001285829,0.0003467448,0.0003476605,0.0006058883,0.0003374783,0.0002984478,0.0005390777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274,"about_ca_system_score_gemma":0.0001802544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001837865,"about_ca_topic_score_gemma":0.0002765149,"domain_scores_codex":[0.9999338,0.000008950615,0.000003047972,0.00002035301,0.00002666697,0.000007071874],"domain_scores_gemma":[0.9998862,0.00003225048,0.00002635393,0.00002478919,0.00002424048,0.000006262723],"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":[0.0001031634,0.00002611694,0.0004220326,0.0003217087,0.00002168414,0.0001452343,0.00005353556,0.005232484,0.843728,0.0274175,0.001168642,0.1213598],"study_design_scores_gemma":[0.00002273152,0.0001593131,0.001698612,0.00006542476,0.00003737455,0.001589226,0.00005550255,0.132387,0.8078634,0.01152508,0.04455163,0.00004475119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.120838,0.0123458,0.8393114,0.0007379557,0.0001750523,0.00008349634,0.0004702834,0.0008433958,0.02519464],"genre_scores_gemma":[0.5902056,0.01161139,0.3838484,0.0003128652,0.0001252905,0.00009049708,0.0004396431,0.00006747612,0.01329894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002010824,"threshold_uncertainty_score":0.006726861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023260370360547,"score_gpt":0.2418631647061596,"score_spread":0.2316305610025542,"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."}}