{"id":"W4388185309","doi":"10.3390/s23218765","title":"Mass Reduction Techniques for Short Backfire Antennas: Additive Manufacturing and Structural Perforations","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Research Manitoba","keywords":"Materials science; Reduction (mathematics); Surface roughness; Parametric statistics; Coating; Antenna (radio); 3D printing; Electrical conductor; Surface finish; Composite material; Mechanical engineering; Computer science; Engineering; Telecommunications; Geometry; Mathematics","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":[0.000370687,0.0006357,0.0003889871,0.0004808195,0.0001548097,0.0004513192,0.000569327,0.0007031555,0.0006832741],"category_scores_gemma":[0.0007808231,0.0003146779,0.0006481419,0.0002908561,0.0006139064,0.0006168755,0.0005966918,0.0005773899,0.0003782446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949094,"about_ca_system_score_gemma":0.0001025623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004809613,"about_ca_topic_score_gemma":0.0001186258,"domain_scores_codex":[0.9995753,0.0000466073,0.00002231447,0.00005231915,0.0002566293,0.00004685254],"domain_scores_gemma":[0.9993569,0.0002098001,0.0002218401,0.0001240159,0.00007025977,0.00001711907],"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":[0.00006905382,0.0000275373,0.0003923655,0.0001788382,0.00002090458,0.0003090749,0.00009406844,0.00475324,0.9553078,0.001577545,0.0001663468,0.03710316],"study_design_scores_gemma":[0.00002352681,0.0007210579,0.001389894,0.00002892468,0.00003630598,0.001668636,0.00007264676,0.01892793,0.9696381,0.001018759,0.006442946,0.00003117926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3301361,0.002742011,0.6609175,0.0002968154,0.0002152488,0.00007510675,0.00004093831,0.0007295842,0.004846857],"genre_scores_gemma":[0.7938709,0.000962654,0.2032396,0.0001320964,0.00006418535,0.00004775512,0.0000344933,0.00007029442,0.001578104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007031555,"threshold_uncertainty_score":0.002285779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136526334972954,"score_gpt":0.2383517027976758,"score_spread":0.2246990693003804,"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."}}