{"id":"W2891181727","doi":"10.1029/2018rs006600","title":"A Polar‐Cap Patch Detection Algorithm for the Advanced Modular Incoherent Scatter Radar System","year":2018,"lang":"en","type":"article","venue":"Radio Science","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Incoherent scatter; Radar; Polar; Zenith; Sunrise; Population; Geodesy; Physics; Environmental science; Geology; Computational physics; Meteorology; Computer science; Astronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344338,0.000136866,0.0001240173,0.00002147954,0.0007826237,0.0001209069,0.0004369155,0.00002542906,0.00006255796],"category_scores_gemma":[0.000004362405,0.00009729667,0.00008011562,0.0003767061,0.0003333379,0.0003107263,0.00006143388,0.00008738467,0.00004484114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010384,"about_ca_system_score_gemma":0.0001144621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005364004,"about_ca_topic_score_gemma":0.00004134669,"domain_scores_codex":[0.998849,0.0000182649,0.0001651006,0.0003434808,0.000243209,0.0003808994],"domain_scores_gemma":[0.9992337,0.00004146673,0.00009345455,0.0003751634,0.0001762065,0.00007998524],"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":[0.00001155835,0.00003546263,0.000363376,0.0000103456,0.00002058965,2.954052e-7,0.0002471559,0.00009356091,0.01868615,0.003272082,0.0001818127,0.9770776],"study_design_scores_gemma":[0.00116947,0.0004353908,0.002650267,0.00005310752,0.00006246714,0.00001004895,0.002237305,0.909514,0.05241759,0.001202888,0.02975723,0.0004902242],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171668,0.00007576371,0.8792618,0.000103364,0.001249896,0.0005828274,0.00002547299,0.00005072439,0.001483404],"genre_scores_gemma":[0.983628,8.823511e-7,0.0149626,0.0000542936,0.0007714294,0.00009063585,0.000003635751,0.00001472765,0.0004738242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765874,"threshold_uncertainty_score":0.6019388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004179620529447405,"score_gpt":0.2199427622317878,"score_spread":0.2157631417023404,"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."}}