{"id":"W6948505972","doi":"10.5067/gpmgv/gcpex/probes/data101","title":"GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) SNOW SURVEYS GCPEX","year":2025,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Snow cover; Snowmelt; Global Precipitation Measurement","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001874789,0.0004343769,0.0005282295,0.00009551108,0.0004634162,0.0005129091,0.001208674,0.000288053,0.003370356],"category_scores_gemma":[0.0001089636,0.0004144211,0.00004779582,0.0002974428,0.00005940815,0.002331254,0.001625199,0.000243795,0.000857187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812704,"about_ca_system_score_gemma":0.0001552794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.310753,"about_ca_topic_score_gemma":0.1192265,"domain_scores_codex":[0.99641,0.0004513927,0.001149918,0.0005228572,0.001045491,0.0004204084],"domain_scores_gemma":[0.9968545,0.000128419,0.0007858091,0.001992776,0.00003357067,0.0002048751],"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":[0.000004530191,0.000007684042,0.0006773226,0.001693379,0.00003528201,0.000004487511,0.0000386221,0.0000319683,9.173576e-7,0.00005000248,0.9968278,0.000627955],"study_design_scores_gemma":[0.0002677583,0.00001666898,0.01509407,0.0005200979,0.00006613009,0.00003049587,0.004042063,0.0008006199,0.000008336218,6.67656e-8,0.9787655,0.0003882227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001244826,0.00007201588,0.0004098219,0.000085198,0.00136105,0.0007309178,0.992189,0.00008782069,0.003819375],"genre_scores_gemma":[0.01164741,0.0001296277,0.00001789162,0.00017659,0.00008048231,0.00005554718,0.9875975,0.000007797803,0.0002871684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1915265,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699007073149454,"score_gpt":0.2156075231273564,"score_spread":0.1886174523958618,"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."}}