{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009157459,0.002216849,0.001092794,0.002873833,0.0009872828,0.001374209,0.002688303,0.001299682,0.02846073],"category_scores_gemma":[0.003616613,0.0008783604,0.001117724,0.005182458,0.0004573063,0.0007873955,0.0009330942,0.001294698,0.033912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003479414,"about_ca_system_score_gemma":0.006592041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5630039,"about_ca_topic_score_gemma":0.6003656,"domain_scores_codex":[0.9991442,0.00008379555,0.0000481708,0.000191239,0.0003710069,0.0001615787],"domain_scores_gemma":[0.9974911,0.000184586,0.0001557804,0.0004759979,0.001504644,0.0001877856],"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":[0.0000419655,0.0000178638,0.0009568605,0.00009635221,0.00002717931,0.000009825282,0.00001031076,0.00134357,0.00007878902,0.0002720751,0.9951617,0.001983527],"study_design_scores_gemma":[0.0004521913,0.00001503343,0.01968079,0.0001906447,0.00004649277,0.00003837189,0.00007432379,0.006605266,0.0007937729,0.001259668,0.9707946,0.00004891779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003035824,0.00001738301,0.00009678816,0.00003141215,0.00001841167,0.00001215023,0.998538,0.0002982451,0.0006840049],"genre_scores_gemma":[0.0007315042,0.00001701781,0.0003381805,0.00002137013,0.00000419866,0.00004065798,0.9977366,0.00009360601,0.001016871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4369961,"threshold_uncertainty_score":0.8791393,"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."}}