{"id":"W6997446327","doi":"","title":"Water vapor estimation using near-surface radar refractivity during IHOP_2002","year":2004,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiosonde; Depth sounding; Water vapor; Radar; Humidity; Atmosphere (unit)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005694735,0.001120474,0.001012263,0.0002291093,0.001811928,0.0002266045,0.0004300281,0.0008467663,0.0002046946],"category_scores_gemma":[0.0002423201,0.001147495,0.0003424959,0.0004907507,0.0000695281,0.001628587,0.0000980096,0.0018096,0.0006580542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896294,"about_ca_system_score_gemma":0.00004761538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002228931,"about_ca_topic_score_gemma":0.0001686784,"domain_scores_codex":[0.995685,0.0001750944,0.001100445,0.001013087,0.0009806551,0.001045656],"domain_scores_gemma":[0.9981583,0.00009499777,0.0003441902,0.0007955913,0.0003354191,0.000271525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001404323,0.0001192941,0.00001586027,0.00175362,0.0006383764,0.00014265,0.00008218926,0.2937985,0.6781689,0.0004261773,0.000003384455,0.02471062],"study_design_scores_gemma":[0.001361953,0.00004952933,0.000978575,0.0008022028,0.0003812157,0.00009765282,0.0001540929,0.009968873,0.9776117,0.002964553,0.003605757,0.00202396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793601,0.0005311573,0.00001215846,0.000008493483,0.001987048,0.0008070073,0.0003381638,0.001138199,0.01581767],"genre_scores_gemma":[0.9872293,0.0001977787,0.009608042,0.0000213416,0.00007451876,0.0000563042,0.000634151,0.0004811228,0.001697388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994427,"threshold_uncertainty_score":0.9994876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487166813496782,"score_gpt":0.2338732176253208,"score_spread":0.219001549490353,"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."}}