{"id":"W4388757865","doi":"10.1109/uemcon59035.2023.10316052","title":"Signal Attenuation through Foliage Estimator (SAFE)","year":2023,"lang":"en","type":"article","venue":"","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Attenuation; Estimator; Computer science; SIGNAL (programming language); Acoustics; Environmental science; Statistics; Mathematics; Physics; Optics","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":[0.0005123099,0.0008164326,0.0004088367,0.001010793,0.0001993938,0.0005148369,0.0007205716,0.0004874959,0.00475036],"category_scores_gemma":[0.001817475,0.000177725,0.0003918695,0.000589588,0.0001193043,0.0007726913,0.0005860005,0.0004562461,0.00245142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875658,"about_ca_system_score_gemma":0.0003722228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438841,"about_ca_topic_score_gemma":0.003735651,"domain_scores_codex":[0.9997352,0.00004632691,0.000009829198,0.0000677799,0.0001133393,0.00002760906],"domain_scores_gemma":[0.9995093,0.0002123651,0.00006941427,0.00006444435,0.0001225437,0.00002195199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000378197,0.0001516491,0.02219577,0.000401977,0.0003517191,0.000311761,0.0001145772,0.4182331,0.04572683,0.0119423,0.03113477,0.4690573],"study_design_scores_gemma":[0.00003311646,0.0001631133,0.007346119,0.00002901141,0.00006192495,0.0002467776,0.0000249826,0.9576941,0.01480012,0.003707408,0.01585839,0.0000349885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03437222,0.0004205398,0.9505892,0.00003419312,0.00005676708,0.00006576498,0.002455112,0.007992839,0.004013518],"genre_scores_gemma":[0.5196236,0.0005931917,0.4577881,0.00009048163,0.00006052993,0.0001843955,0.01241073,0.001244687,0.008004258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00475036,"threshold_uncertainty_score":0.01589155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07510832979871407,"score_gpt":0.2439244629562462,"score_spread":0.1688161331575321,"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."}}