{"id":"W1510054135","doi":"","title":"28 GHz channel modeling using 3D ray-tracing in urban environments","year":2015,"lang":"en","type":"article","venue":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ray tracing (physics); Channel (broadcasting); Transmitter; Downtown; Path loss; Computer science; Shadow mapping; Delay spread; Tracing; Telecommunications; Electronic engineering; Wireless; Geography; Engineering; Physics; Optics; Computer graphics (images); Multipath propagation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003310045,0.002040047,0.001849722,0.002990162,0.000761143,0.0008615346,0.001727464,0.001336345,0.0005323031],"category_scores_gemma":[0.0005280439,0.00229383,0.0005222214,0.002704673,0.0002567059,0.00386926,0.0006371925,0.002624418,0.001378159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171693,"about_ca_system_score_gemma":0.0004786715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005508885,"about_ca_topic_score_gemma":0.0001513515,"domain_scores_codex":[0.9880767,0.0006672157,0.003271981,0.002317019,0.002346315,0.003320746],"domain_scores_gemma":[0.994433,0.0003044193,0.0005274643,0.002300038,0.0006474029,0.001787624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001044624,0.0005379739,0.001488518,0.0003107244,0.0003357409,0.00006989972,0.005566903,0.9775376,0.009022403,0.0001188396,0.002790125,0.002116781],"study_design_scores_gemma":[0.003578665,0.0001329144,0.0001881526,0.0004201313,0.0002439191,0.00007770769,0.002079077,0.9769201,0.007729265,0.001620408,0.004480258,0.00252946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3734943,0.005210691,0.6109141,0.0005046254,0.002853844,0.001902437,0.0001148829,0.001112091,0.003892971],"genre_scores_gemma":[0.9723174,0.001249905,0.02172076,0.0007090958,0.001133984,0.0003599219,0.0005999536,0.000697625,0.00121135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5988231,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061241142408823,"score_gpt":0.2484378486578046,"score_spread":0.1878254372337164,"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."}}