{"id":"W2805996566","doi":"","title":"Terrestrial Snow Observing System Simulation Experiment (OSSE) in the Context of a Snow Mass Mission Concept Study","year":2018,"lang":"en","type":"article","venue":"98th American Meteorological Society Annual Meeting","topic":"Aerospace Engineering and Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Snow; Environmental science; Context (archaeology); Meteorology; Snow removal; Snow cover; Atmospheric sciences; Geology; Geography","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":[0.001902259,0.0002985901,0.0002472578,0.0001831677,0.0006745058,0.0006571283,0.0004758997,0.0005955489,0.0006774505],"category_scores_gemma":[0.002038935,0.0001173967,0.0003004591,0.0003191798,0.0005513592,0.0009515546,0.0006353965,0.0006206245,0.0001069819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389431,"about_ca_system_score_gemma":0.00151222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201077,"about_ca_topic_score_gemma":0.0389756,"domain_scores_codex":[0.9996069,0.0001965383,0.00001561494,0.0000487004,0.00006413915,0.0000681973],"domain_scores_gemma":[0.9990496,0.0003607887,0.00008952124,0.0001252748,0.0001442474,0.0002305339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00717333,0.009748455,0.3079255,0.000287494,0.0006319041,0.001633457,0.002658199,0.5452586,0.05472915,0.02792059,0.0127281,0.02930512],"study_design_scores_gemma":[0.002148593,0.00780405,0.2365734,0.00005479982,0.0002340675,0.0002234793,0.003793776,0.7068769,0.01696052,0.008884699,0.01629063,0.0001550693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9953746,0.00001522783,0.0009818256,0.0003052808,0.00001809537,0.00008190998,0.0007191611,0.00003608116,0.002467804],"genre_scores_gemma":[0.9947187,0.00002202131,0.003721903,0.00006285012,0.00001431099,0.00006004114,0.0009665939,0.0000182601,0.0004152494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0201077,"threshold_uncertainty_score":0.03998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014501340992789,"score_gpt":0.2639239629346646,"score_spread":0.2437789495247367,"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."}}