{"id":"W7126047664","doi":"10.20383/103.01230","title":"Recent and Future British Columbia Drought Atlas derived from ERA5-Land and CanDCS-M6","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Atlas (anatomy); Data file; Data archive","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":[0.0005755551,0.001027663,0.0008575714,0.002837161,0.001556173,0.001652329,0.001585738,0.0005698484,0.044225],"category_scores_gemma":[0.002659216,0.0005499427,0.0004232627,0.008774147,0.0002537924,0.0007196814,0.0008404007,0.001272666,0.01818128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008330652,"about_ca_system_score_gemma":0.01360731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9037711,"about_ca_topic_score_gemma":0.9559448,"domain_scores_codex":[0.9995899,0.00003032752,0.00002866698,0.00009693401,0.0001515831,0.0001025702],"domain_scores_gemma":[0.9976718,0.000182901,0.0001146206,0.0002267214,0.001561915,0.0002419691],"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":[0.00003707351,0.000009759512,0.002615866,0.0001667584,0.00002705583,0.00001819595,0.00003107894,0.0004179116,0.00006342299,0.0004065182,0.9931084,0.003097879],"study_design_scores_gemma":[0.00009381446,0.000005500421,0.04827085,0.0003620013,0.00004456797,0.00003434646,0.0002506012,0.001707763,0.0006527452,0.0007187439,0.9477994,0.00005955776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003802201,0.00001727322,0.00004378007,0.00003231165,0.00001158312,0.000005042587,0.9982672,0.000100811,0.00114181],"genre_scores_gemma":[0.001644965,0.00003884682,0.0002725772,0.00001977105,0.000003613535,0.00003533612,0.996101,0.00006154739,0.00182235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0962289,"threshold_uncertainty_score":0.1935912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404137562888723,"score_gpt":0.2655273901779675,"score_spread":0.2514860145490803,"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."}}