{"id":"W6894495947","doi":"10.5683/sp3/1dbfbh","title":"Snow Data","year":2013,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Snow cover; Snowmelt; Precipitation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00116868,0.003750739,0.001623677,0.003983611,0.001291204,0.002038893,0.003365914,0.002098901,0.05270071],"category_scores_gemma":[0.004981572,0.0008136437,0.002560137,0.005517554,0.0007198101,0.001735559,0.001938804,0.002068694,0.08830055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230987,"about_ca_system_score_gemma":0.002890811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06038415,"about_ca_topic_score_gemma":0.1250586,"domain_scores_codex":[0.998594,0.0002660168,0.0001076807,0.0003867946,0.0003901392,0.0002553844],"domain_scores_gemma":[0.998154,0.0003481507,0.00009059408,0.0006304779,0.000518701,0.0002580886],"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":[0.00006565624,0.00003417326,0.0003294002,0.0001803539,0.00003458888,0.00001834505,0.00001730352,0.0006865217,0.0001294197,0.0002160177,0.9953246,0.002963561],"study_design_scores_gemma":[0.000440557,0.00005773437,0.003346507,0.0001798725,0.00007848004,0.0001175776,0.0001551146,0.005160119,0.001084537,0.002857536,0.9864523,0.00006969384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001076974,0.0002444766,0.0004957617,0.0002033095,0.0001838873,0.00004956343,0.9886297,0.005846347,0.003269958],"genre_scores_gemma":[0.0008906172,0.00007843379,0.0007794917,0.0000836906,0.00002092534,0.00005497385,0.9962116,0.0003293292,0.001550886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06038415,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07239096525830613,"score_gpt":0.3158657714608616,"score_spread":0.2434748062025555,"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."}}