{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006305015,0.001039959,0.0007995318,0.002431586,0.0006582813,0.000879688,0.001657046,0.0007126284,0.02699405],"category_scores_gemma":[0.002006975,0.0004653244,0.0004715421,0.004386348,0.000261944,0.0008170876,0.0009142552,0.0007650991,0.02469527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672943,"about_ca_system_score_gemma":0.002351616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2456399,"about_ca_topic_score_gemma":0.4624772,"domain_scores_codex":[0.9995819,0.00005404896,0.00004796041,0.0001192463,0.0001280407,0.00006886377],"domain_scores_gemma":[0.9987991,0.0001609305,0.0001253317,0.0001933419,0.0005848251,0.0001363554],"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":[0.00003261658,0.00001535674,0.002186029,0.0002194575,0.00001644044,0.00001992772,0.00004398775,0.0002386334,0.00007943388,0.0002173665,0.994626,0.002304681],"study_design_scores_gemma":[0.0001038989,0.000009071131,0.02070611,0.0001863294,0.0000194718,0.00004103193,0.0002137881,0.0007214915,0.000251311,0.0004579724,0.9772609,0.00002870646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004899931,0.00003615156,0.00006722467,0.00003774625,0.00001447241,0.00001079204,0.9984956,0.0001527444,0.0006952755],"genre_scores_gemma":[0.000778039,0.00003001162,0.0002680335,0.00001345168,0.000004016692,0.00005093889,0.9979337,0.00003602569,0.0008858491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2456399,"threshold_uncertainty_score":0.4884202,"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."}}