{"id":"W2464267508","doi":"10.1109/tap.2016.2583490","title":"Boreal Forest Low Antenna Height Propagation Measurements","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taiga; Fading; Antenna (radio); Environmental science; Remote sensing; Telecommunications; Computer science; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002978866,0.0004148392,0.0004109167,0.0004129992,0.0008597846,0.0003919381,0.0005266339,0.0003701203,0.000822138],"category_scores_gemma":[0.0003394508,0.00008990719,0.0001672882,0.0005427361,0.0002681176,0.0002992489,0.0002780872,0.000536897,0.0003341187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004499197,"about_ca_system_score_gemma":0.0003859341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02536483,"about_ca_topic_score_gemma":0.06465783,"domain_scores_codex":[0.9995647,0.00003437065,0.00001317913,0.0001038507,0.0001707253,0.0001130543],"domain_scores_gemma":[0.9995669,0.00006504825,0.00005365624,0.00003662672,0.0002081518,0.00006971674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001428057,0.0007483405,0.2131898,0.000243459,0.0001211793,0.001250819,0.001089339,0.0164697,0.6846917,0.0008805682,0.004661961,0.07522506],"study_design_scores_gemma":[0.000262912,0.002502245,0.8059533,0.0000339513,0.0002179442,0.001182753,0.001056268,0.02578056,0.1473807,0.000468009,0.01503448,0.0001268922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840438,0.000104644,0.007038487,0.00006576853,0.00003451664,0.0000394386,0.001836216,0.0003830189,0.006454146],"genre_scores_gemma":[0.9939766,0.00007424163,0.003877187,0.00004120721,0.00001031757,0.00002132734,0.00127574,0.00002282636,0.0007004768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02536483,"threshold_uncertainty_score":0.05043441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929875810461909,"score_gpt":0.2136215902631583,"score_spread":0.1943228321585392,"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."}}