{"id":"W2915322134","doi":"","title":"Applied Meteorology Unit (AMU) Quarterly Report First Quarter FY-15","year":2015,"lang":"en","type":"article","venue":"NASA STI Repository (National Aeronautics and Space Administration)","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NASA Headquarters; Marshall Space Flight Center; Kennedy Space Center; Langley Research Center; National Aeronautics and Space Administration","keywords":"Quarter (Canadian coin); Meteorology; Unit (ring theory); Environmental science; Geography; Mathematics; Mathematics education; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127934,0.000571319,0.0005035969,0.001479633,0.0004990722,0.001495212,0.0004849621,0.0005700556,0.03199858],"category_scores_gemma":[0.002383796,0.0001675984,0.0001410804,0.001471805,0.00009856637,0.0006206476,0.0003385491,0.0008727987,0.01894398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000949426,"about_ca_system_score_gemma":0.002491484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05526228,"about_ca_topic_score_gemma":0.0577572,"domain_scores_codex":[0.9995789,0.00003283604,0.00003418425,0.00004630381,0.0002741779,0.00003363874],"domain_scores_gemma":[0.9975,0.0001142767,0.0001759363,0.0001402383,0.001870336,0.0001991195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001650641,0.00008934992,0.008422299,0.0001518144,0.00001438352,0.00003068201,0.00003019642,0.0002881167,0.0003290847,0.0003597988,0.9641079,0.02601128],"study_design_scores_gemma":[0.0001103853,0.0001309732,0.07874367,0.0001495755,0.00002295248,0.00002391769,0.0001133452,0.001588832,0.001112181,0.0002878937,0.9177004,0.00001591157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03237116,0.003556011,0.002697142,0.007707505,0.0144586,0.0008070046,0.7850639,0.002396822,0.1509418],"genre_scores_gemma":[0.1627127,0.005452013,0.007736818,0.001474151,0.003202991,0.001257833,0.5635579,0.001101821,0.2535038],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05526228,"threshold_uncertainty_score":0.1098812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236240517349908,"score_gpt":0.2498126916664898,"score_spread":0.2174502864929907,"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."}}