{"id":"W6906474021","doi":"10.17605/osf.io/abhng","title":"Comparison of Snow Depth Spatial Models Generated for Year 2000 Using Global Historical Climate Network Daily (GHCN-D) and Environment and Climate Change Canada (ECCC) in situ Station Records","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Climate change; Climate model; Global warming; Historical record; Global change; Effects of global warming","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":[0.0009187725,0.0006268172,0.0003188161,0.001030265,0.0004739295,0.0008496766,0.001449512,0.0005511338,0.00303653],"category_scores_gemma":[0.001972328,0.0004339609,0.001174153,0.001516685,0.0002875874,0.0006200455,0.0003471803,0.0006895642,0.0007208768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005595897,"about_ca_system_score_gemma":0.004667902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8691096,"about_ca_topic_score_gemma":0.8641537,"domain_scores_codex":[0.9997564,0.00004753733,0.00001684844,0.0000907899,0.00004869366,0.0000397395],"domain_scores_gemma":[0.999102,0.0002427675,0.00006006018,0.00008974093,0.0004260101,0.00007947641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004338497,0.0001399099,0.1044776,0.0001471742,0.0005195463,0.0000890091,0.0002838973,0.8554064,0.001586489,0.002366479,0.0118239,0.02272577],"study_design_scores_gemma":[0.000161521,0.00003446358,0.08738928,0.00007491765,0.0001389889,0.00006134846,0.0003235815,0.9000775,0.00149484,0.0008307974,0.009304983,0.000107851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948078,0.0005231943,0.01288483,0.0005505413,0.0001008057,0.00005808044,0.02870097,0.002247152,0.006856303],"genre_scores_gemma":[0.9565283,0.000290164,0.00905655,0.00008574647,0.0000125966,0.00003983514,0.03098731,0.0003937033,0.002605782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308904,"threshold_uncertainty_score":0.2633224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777653078738168,"score_gpt":0.2527130077974556,"score_spread":0.204936477010074,"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."}}