{"id":"W4312688772","doi":"10.1109/pn56061.2022.9908255","title":"Terahertz metasurface based on additive manufacturing technology","year":2022,"lang":"en","type":"article","venue":"2022 Photonics North (PN)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Terahertz radiation; Electronics; Terahertz metamaterials; Materials science; Band-pass filter; 3D printing; Optoelectronics; Terahertz spectroscopy and technology; Transmission (telecommunications); Computer science; Electronic engineering; Optics; Electrical engineering; Engineering; Telecommunications; Physics; Composite material","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":[0.0001538247,0.0003340403,0.0002592274,0.0003021453,0.0001410671,0.0006132869,0.0003174177,0.0004438617,0.0005771968],"category_scores_gemma":[0.0003070825,0.0001471958,0.0004592472,0.0004386849,0.0003197628,0.000387961,0.0002272662,0.0002625573,0.00024298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607507,"about_ca_system_score_gemma":0.0001407323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161097,"about_ca_topic_score_gemma":0.0002457766,"domain_scores_codex":[0.9997398,0.00001518845,0.000008527686,0.00002641166,0.0001726173,0.00003735989],"domain_scores_gemma":[0.9997992,0.00006029856,0.00005745427,0.00004634344,0.00003159649,0.000005151137],"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":[0.00006983866,0.00003812924,0.0006737788,0.0001173327,0.00002916366,0.000272853,0.0000646786,0.02448144,0.9565372,0.006870274,0.0001309573,0.01071423],"study_design_scores_gemma":[0.00001573833,0.000318282,0.002941645,0.00001692558,0.00004314603,0.0006751061,0.00003985925,0.1487737,0.8411313,0.001439082,0.004574772,0.00003030796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004394,0.001617239,0.07893277,0.0001232923,0.0001087491,0.00003175096,0.0001694867,0.0003148855,0.01826246],"genre_scores_gemma":[0.976024,0.0005606942,0.02173719,0.00002026025,0.00001107641,0.00001796144,0.00006667371,0.00002086827,0.001541329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006132869,"threshold_uncertainty_score":0.001930952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009205730722982542,"score_gpt":0.1930057457705608,"score_spread":0.1838000150475783,"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."}}