{"id":"W2128221589","doi":"10.1175/2008jhm868.1","title":"NASA Cold Land Processes Experiment (CLPX 2002/03): Atmospheric Analyses Datasets","year":2008,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; National Oceanic and Atmospheric Administration; Japan Science and Technology Corporation; National Aeronautics and Space Administration; California Institute of Technology; Jet Propulsion Laboratory","keywords":"Environmental science; Climatology; Snow; Atmospheric research; Meteorology; Geography; Geology","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":[0.001414979,0.001083269,0.000800701,0.001457792,0.0009901541,0.0009831819,0.001861372,0.0008694134,0.005986263],"category_scores_gemma":[0.002307042,0.0004398036,0.0005767915,0.003711484,0.0003237527,0.0006962144,0.0007243296,0.001065467,0.003654021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254966,"about_ca_system_score_gemma":0.00281628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1820088,"about_ca_topic_score_gemma":0.1917107,"domain_scores_codex":[0.9992955,0.0001344426,0.00006081065,0.0002000424,0.0002360198,0.00007328494],"domain_scores_gemma":[0.9976588,0.0001878854,0.000204477,0.00061464,0.001119508,0.0002146568],"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":[0.0004430432,0.0003688335,0.03371518,0.0002319021,0.0002015142,0.0001381902,0.0001532862,0.01463115,0.001673394,0.001003041,0.932319,0.01512154],"study_design_scores_gemma":[0.00204788,0.0001332856,0.3217029,0.0001497545,0.0001675494,0.0001568859,0.0003388076,0.05507824,0.00701273,0.002184122,0.6108215,0.0002061949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01907632,0.0000656938,0.0008314154,0.0001962736,0.00005841735,0.0001407431,0.9761762,0.001475604,0.001979341],"genre_scores_gemma":[0.01815036,0.00003393277,0.002871209,0.00006203978,0.00002308244,0.0003026267,0.9774061,0.0001892203,0.0009613767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1820088,"threshold_uncertainty_score":0.3618987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279658016877172,"score_gpt":0.2838599014305552,"score_spread":0.2310633212617834,"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."}}