{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000585389,0.001011457,0.0008270348,0.001904508,0.0005810817,0.001029618,0.001801664,0.0007845523,0.02675248],"category_scores_gemma":[0.002016899,0.0004515712,0.0005283152,0.004357112,0.0002586976,0.0008566742,0.001044198,0.000849988,0.02893298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277246,"about_ca_system_score_gemma":0.002254575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1410037,"about_ca_topic_score_gemma":0.281461,"domain_scores_codex":[0.9995689,0.00005849028,0.00005762341,0.0001162525,0.0001286465,0.00006995852],"domain_scores_gemma":[0.9989048,0.0001214232,0.0001105324,0.0001755278,0.0005579972,0.000129727],"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":[0.00002698986,0.00001781913,0.002222045,0.0001890859,0.00002160204,0.00001867666,0.00004274705,0.0002976075,0.00008326252,0.0002483301,0.9948149,0.002016867],"study_design_scores_gemma":[0.0001249489,0.00001044979,0.01525402,0.0001442034,0.00002482246,0.00003733229,0.0002284912,0.001081357,0.0002779768,0.0006804109,0.9821035,0.00003230267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004867565,0.00002787256,0.00008626053,0.0000448715,0.0000157528,0.00001124316,0.998435,0.0002101803,0.0006819716],"genre_scores_gemma":[0.0007414641,0.00002451837,0.0002906706,0.00001624878,0.000004029335,0.00005144261,0.9981194,0.00004774641,0.000704503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1410037,"threshold_uncertainty_score":0.2803659,"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."}}