{"id":"W2797680239","doi":"10.5194/essd-10-1655-2018","title":"The Cariboo Alpine Mesonet: sub-hourly hydrometeorological observations of British Columbia's Cariboo Mountains and surrounding area since 2006","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrometeorology; Snow; Environmental science; Tundra; Automatic weather station; Snowmelt; Alpine climate; Climatology; Hydrology (agriculture); Meteorology; Precipitation; Geology; Geography; Arctic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001993845,0.0001195639,0.0002675351,0.00002710344,0.002219204,0.0007480924,0.001261745,0.00005371601,0.0000671402],"category_scores_gemma":[0.0004258615,0.0001143013,0.00002968513,0.001216993,0.001857683,0.0008287354,0.000267089,0.0001134506,0.00001735617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000130073,"about_ca_system_score_gemma":0.0001844763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1592486,"about_ca_topic_score_gemma":0.629594,"domain_scores_codex":[0.9976754,0.0000848229,0.0004361356,0.0006115319,0.0006578318,0.0005342991],"domain_scores_gemma":[0.9980323,0.0004330189,0.0002151224,0.0008805543,0.0002761972,0.0001627606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005656849,0.00001202942,0.9880506,0.00002059641,0.00002054697,0.000008039504,0.0001075142,0.00006939433,0.0002563801,0.0001372087,0.005560891,0.005751105],"study_design_scores_gemma":[0.0001343591,0.0001294713,0.950758,0.00005504919,0.00001998081,0.00004763661,0.001305642,0.03110716,0.000006594141,0.00001768588,0.01627715,0.0001412695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917951,0.001536885,0.0002079544,0.0002565561,0.0005989219,0.0003062396,0.00474908,0.00005021297,0.0004991036],"genre_scores_gemma":[0.9980574,0.0001868433,0.0009229853,0.00008268484,0.0001410886,0.000002948356,0.0003129617,0.000003685595,0.0002893513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703454,"threshold_uncertainty_score":0.9990798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031484761513783,"score_gpt":0.2346545300074409,"score_spread":0.1843396823923031,"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."}}