{"id":"W2114956311","doi":"10.1109/vetecs.2001.944881","title":"Propagation of millimetric waves in rough sidewalls mining environment","year":2002,"lang":"en","type":"article","venue":"","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lossy compression; Representation (politics); Computer science; Dielectric; Surface finish; Acoustics; Segmentation; Wave propagation; Rayleigh wave; Projection (relational algebra); Surface roughness; Surface wave; Algorithm; Optics; Artificial intelligence; Physics; Engineering; Mechanical engineering; Telecommunications","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":[0.0001506906,0.0004122226,0.0003282123,0.0002961635,0.0002123892,0.0005717735,0.0004421297,0.0004349028,0.000359498],"category_scores_gemma":[0.0004342601,0.0002274655,0.0002613149,0.0002971012,0.0007195463,0.0005694968,0.00025576,0.0003822906,0.0001614479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669058,"about_ca_system_score_gemma":0.000311187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002464612,"about_ca_topic_score_gemma":0.001626301,"domain_scores_codex":[0.9999168,0.00001903209,0.000002482076,0.00001478458,0.00003273122,0.00001414302],"domain_scores_gemma":[0.9998741,0.00005776295,0.00002580145,0.00001162828,0.0000219242,0.000008858979],"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":[0.00004510433,0.00001935707,0.00170674,0.00002028128,0.00001241113,0.0001960219,0.00005922992,0.9705971,0.01092801,0.009285308,0.0001713834,0.006958989],"study_design_scores_gemma":[0.00000311143,0.00002128171,0.0005863069,0.000001615128,0.000002372305,0.00004345338,0.00001481747,0.9967642,0.0006892484,0.001750304,0.0001169153,0.000006399058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3939714,0.000262425,0.6003382,0.0001522153,0.00003356539,0.00002451052,0.00008920476,0.0002620211,0.004866366],"genre_scores_gemma":[0.9777341,0.0004111404,0.01863618,0.00001971541,0.00002001321,0.0000265261,0.00006618076,0.00003160132,0.003054392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002464612,"threshold_uncertainty_score":0.004900515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083626456214266,"score_gpt":0.1918203075497989,"score_spread":0.1709840429876562,"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."}}