{"id":"W2885235273","doi":"","title":"Estimation of low-level atmospheric refractivity gradient using ground echo coverage","year":2009,"lang":"en","type":"article","venue":"34th Conference on Radar Meteorology (5-9 October 2009)","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Echo (communications protocol); Remote sensing; Environmental science; Meteorology; Geology; Geography; Computer science","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":[0.000229213,0.0004041863,0.0004094412,0.0008416513,0.000135667,0.0004788212,0.0003486164,0.0003904579,0.0006178245],"category_scores_gemma":[0.0007672186,0.000247276,0.0002604093,0.0004791191,0.0001029287,0.0005078989,0.0003908344,0.000333541,0.0005321073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336449,"about_ca_system_score_gemma":0.0002570371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589269,"about_ca_topic_score_gemma":0.006922161,"domain_scores_codex":[0.9998814,0.00001973791,0.000004803239,0.00002983863,0.00003607194,0.0000281195],"domain_scores_gemma":[0.9997883,0.0000682204,0.00002237291,0.00002688508,0.00006598762,0.0000281094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00121939,0.0003390125,0.1017762,0.0002136709,0.0002694781,0.0003895522,0.0001788866,0.1246974,0.3408054,0.001062554,0.001754806,0.4272936],"study_design_scores_gemma":[0.00008415549,0.0001299898,0.1124108,0.00001202802,0.00009522126,0.0001574175,0.00004944794,0.8595023,0.02636239,0.0004530906,0.0007094024,0.0000337795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103662,0.0004469894,0.1850916,0.00006952083,0.00003079281,0.0000271773,0.0004892057,0.001150171,0.002328283],"genre_scores_gemma":[0.950326,0.0001257523,0.04815289,0.00001788404,0.00001980327,0.000008182681,0.0006029395,0.00005745281,0.000689159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003589269,"threshold_uncertainty_score":0.007136762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403844681943686,"score_gpt":0.2673912858083308,"score_spread":0.233352838988894,"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."}}