{"id":"W6967039298","doi":"10.5065/d68k77wg","title":"Sandy Creek Snow Study Station Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snow field; Water equivalent; Snowmelt; Hydrology (agriculture); Snow cover; Snow removal","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":[0.003299552,0.0008749584,0.001011674,0.0004712616,0.0005451529,0.0006175244,0.003418244,0.000551373,0.002330563],"category_scores_gemma":[0.002371979,0.001030985,0.0000774792,0.0014646,0.0001265946,0.00118741,0.002000724,0.001382002,0.03167991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181333,"about_ca_system_score_gemma":0.0009575611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358598,"about_ca_topic_score_gemma":0.02837421,"domain_scores_codex":[0.9925674,0.001819506,0.0009316144,0.001955293,0.001872228,0.0008540028],"domain_scores_gemma":[0.9897081,0.0005412805,0.001063652,0.007463656,0.0008329386,0.0003904338],"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":[0.00009114076,0.0005997934,0.002418477,0.0002445861,0.0002136329,0.0001328897,0.00009873461,0.00005477903,0.0001240827,4.244852e-7,0.9958553,0.000166117],"study_design_scores_gemma":[0.001678741,0.0003860859,0.02256733,0.0003259488,0.0004879103,0.000001410444,0.0004034603,0.0001409965,0.00001710261,0.000003487208,0.9729811,0.001006435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01610061,0.0004860947,0.00001064287,0.00001981807,0.001932975,0.001254222,0.9796938,0.0004706658,0.00003116289],"genre_scores_gemma":[0.0005736656,0.00006525159,0.0004947917,0.0003817105,0.001027568,0.00004701612,0.996993,0.0002719579,0.0001450208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02934935,"threshold_uncertainty_score":0.9992141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445652587328217,"score_gpt":0.29808190334011,"score_spread":0.2536253774668278,"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."}}