{"id":"W4389607671","doi":"10.1139/cjss-2022-0105","title":"A self-adjusting parametric model for attenuation characteristics of WUSN signal","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attenuation; Computer science; Wireless sensor network; SIGNAL (programming language); Parametric model; Transmission (telecommunications); Water content; Environmental science; Parametric statistics; Remote sensing; Electronic engineering; Soil science; Simulation; Engineering; Mathematics; Statistics; Optics; Telecommunications; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003525848,0.0007487708,0.0003116659,0.0003531848,0.0002654463,0.0005088938,0.0009409707,0.0008014265,0.000828005],"category_scores_gemma":[0.001145524,0.0002992992,0.0007340243,0.0003874322,0.0005135376,0.0009257681,0.0003224248,0.0007518084,0.0002817078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006545669,"about_ca_system_score_gemma":0.0005760734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007496206,"about_ca_topic_score_gemma":0.004894715,"domain_scores_codex":[0.999723,0.00005538755,0.000008995996,0.00008905339,0.00009492593,0.00002857188],"domain_scores_gemma":[0.9997585,0.00008197541,0.00004324698,0.0000233645,0.00008751739,0.000005352018],"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":[0.00002364298,0.00002777949,0.0009125165,0.00003233514,0.0000166384,0.00005103261,0.00007300887,0.971892,0.007221919,0.003228484,0.0002770447,0.01624362],"study_design_scores_gemma":[0.000001194656,0.000007348478,0.0001206873,0.000001228866,0.000002883023,0.000008900448,0.000002608985,0.998821,0.0005658362,0.0002854399,0.0001794246,0.000003426922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02798662,0.000147902,0.9688588,0.00008801516,0.00002038378,0.00003046503,0.00004070628,0.0002524818,0.002574725],"genre_scores_gemma":[0.9306552,0.0003947542,0.06245082,0.00005557471,0.00002073293,0.0001554347,0.0001373479,0.00008471368,0.006045363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007496206,"threshold_uncertainty_score":0.01490515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327447602785207,"score_gpt":0.23434212262015,"score_spread":0.2110676465922979,"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."}}