{"id":"W6910951147","doi":"10.5065/d68051cn","title":"North Redfield Snow Study Station Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snow cover; Wind speed; Snowmelt; Automatic weather station","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":[0.002093374,0.0008388475,0.0008818664,0.0004829051,0.0004378282,0.0003188392,0.003269785,0.0005067555,0.001194346],"category_scores_gemma":[0.002264377,0.0009084216,0.00007000352,0.001509095,0.00009091189,0.001014845,0.001888898,0.00150108,0.02278632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357248,"about_ca_system_score_gemma":0.0008203405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518029,"about_ca_topic_score_gemma":0.0559548,"domain_scores_codex":[0.9936425,0.001315816,0.0008711405,0.001781593,0.001628887,0.0007600638],"domain_scores_gemma":[0.99,0.0004697885,0.0009721362,0.007479149,0.0007435444,0.0003353624],"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":[0.00008862153,0.000443965,0.006031266,0.0002160541,0.0001746319,0.000120474,0.0001110986,0.00007958722,0.00002534796,4.702804e-7,0.9925616,0.0001468799],"study_design_scores_gemma":[0.001043705,0.0003385262,0.03505405,0.0002241427,0.0003785551,9.759265e-7,0.0002502992,0.0001052435,0.00001634103,0.000001586143,0.961715,0.0008715725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0293906,0.0002741877,0.000007323136,0.00003064499,0.001931473,0.001087643,0.9668375,0.000412046,0.00002860508],"genre_scores_gemma":[0.001188271,0.00006688906,0.0002843396,0.0004666577,0.001012898,0.00003958933,0.996613,0.0002117304,0.0001166451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05443677,"threshold_uncertainty_score":0.9997187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274146947477625,"score_gpt":0.2874563872393477,"score_spread":0.2447149177645715,"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."}}