{"id":"W6967526689","doi":"10.5067/gpmgv/gcpex/radiosonde/data101","title":"GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) RADIOSONDE GCPEX","year":2025,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radiosonde; Satellite; Earth observation satellite; Global Precipitation Measurement; Term (time)","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":[0.001029574,0.002890388,0.00130338,0.00299083,0.001007405,0.001563699,0.003026423,0.001807392,0.03068157],"category_scores_gemma":[0.003696542,0.0008224545,0.001203146,0.005203621,0.0005472466,0.0009437361,0.001015565,0.001526302,0.04716276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860458,"about_ca_system_score_gemma":0.005658248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3975707,"about_ca_topic_score_gemma":0.4235046,"domain_scores_codex":[0.9989634,0.0001104049,0.00006313904,0.0002326854,0.0004291329,0.0002012839],"domain_scores_gemma":[0.99755,0.0002126704,0.0001279898,0.0005251697,0.001419149,0.0001650457],"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":[0.00004011086,0.00001755042,0.0006252625,0.0001163477,0.0000214304,0.000009835788,0.000007654482,0.001322191,0.00008914944,0.000232385,0.9957147,0.001803317],"study_design_scores_gemma":[0.0003449637,0.00002053963,0.01083445,0.0002262508,0.00004818297,0.00004620315,0.00007886456,0.00551446,0.001050816,0.001580296,0.9801919,0.00006295041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002428818,0.00002468868,0.0001160648,0.00003260653,0.00002881954,0.00001010983,0.9984452,0.000398017,0.0007016803],"genre_scores_gemma":[0.0006456434,0.00002047945,0.000326956,0.00002438755,0.000005302153,0.00003241229,0.9979255,0.0001027962,0.0009164803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6024293,"threshold_uncertainty_score":0.7905132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938992819547427,"score_gpt":0.2116993223781794,"score_spread":0.1923093941827052,"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."}}