{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005643923,0.0002317415,0.000211085,0.0003455526,0.0002538458,0.000249356,0.0002871507,0.0001106403,0.0001164191],"category_scores_gemma":[0.00005321828,0.000230871,0.00002667302,0.0004529494,0.00003350655,0.001008498,0.0002559481,0.0002125164,0.00005335809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009369352,"about_ca_system_score_gemma":0.00008645058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002004952,"about_ca_topic_score_gemma":0.0002386942,"domain_scores_codex":[0.9982417,0.00006041857,0.0004880363,0.0005869544,0.0002767749,0.000346179],"domain_scores_gemma":[0.998989,0.00005256522,0.00004105355,0.0005979792,0.0001690963,0.0001503016],"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":[0.0001383935,0.0001388771,0.0003553217,0.0008754986,0.0002513512,0.000003821219,0.003092673,0.7039582,0.1115035,0.003293144,0.0482094,0.1281799],"study_design_scores_gemma":[0.0003570452,0.00003626662,0.00002384545,0.00008871695,0.00003404228,0.000002928056,0.0003300829,0.980471,0.01151896,0.000365225,0.006544201,0.0002277539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05847762,0.0001450632,0.9198521,0.0003307087,0.0001265881,0.0008546444,0.0001264903,0.0007739817,0.0193128],"genre_scores_gemma":[0.9895295,0.00004489448,0.006784085,0.000203112,0.00005936541,0.0001291775,0.0003870372,0.000036683,0.002826149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9310519,"threshold_uncertainty_score":0.9414647,"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."}}