{"id":"W4412967436","doi":"10.36227/techrxiv.175288706.62693594/v1","title":"CRC-COVLIB: A Publicly Available Propagation Resource to Facilitate Wireless Signal Predictions utilizing Geospatial Data and Propagation Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Geospatial analysis; Radio propagation; Computer science; Resource (disambiguation); Wireless; SIGNAL (programming language); Radio signal; Data science; Data mining; Telecommunications; Remote sensing; Computer network; Geography; Radio frequency","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":[0.001007316,0.001759063,0.001024279,0.001761354,0.0006619261,0.001620607,0.004464814,0.001287936,0.05273663],"category_scores_gemma":[0.00579311,0.0008234328,0.0008975125,0.002773146,0.0003166195,0.002653409,0.001779047,0.001815783,0.03133553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004005,"about_ca_system_score_gemma":0.00228428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283732,"about_ca_topic_score_gemma":0.02929877,"domain_scores_codex":[0.9993961,0.00008824012,0.0000380266,0.00007029228,0.0003318044,0.00007560863],"domain_scores_gemma":[0.9978891,0.0005463198,0.0001322187,0.0005162202,0.0007854538,0.0001307072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002476429,0.0001726539,0.00200084,0.0006851982,0.0001277795,0.0003602367,0.0001254858,0.2628944,0.005550793,0.01457672,0.6388971,0.07436108],"study_design_scores_gemma":[0.000199681,0.00006278687,0.0009024529,0.0001280295,0.00004895344,0.0001871524,0.00005032357,0.7639834,0.00837491,0.008975216,0.2169213,0.0001658952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007797587,0.000420944,0.508357,0.0004393016,0.0004746098,0.0003549771,0.125948,0.3022204,0.05398717],"genre_scores_gemma":[0.1839374,0.001381087,0.2873801,0.0006785583,0.0002694945,0.001162092,0.4274446,0.07008059,0.027666],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05273663,"threshold_uncertainty_score":0.1764216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.079958142840484,"score_gpt":0.2448891705455737,"score_spread":0.1649310277050897,"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."}}