{"id":"W6913162607","doi":"10.5285/1ee887d3-aabd-4fb7-b48e-056229a15c6f","title":"Sub-hourly discharge data for the Siksik catchment, North West Territories, Canada from September 2009 to September 2010","year":2016,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Arctic; North west; The arctic; Climate change; Research centre; Greenhouse gas; Marine research","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":[0.000508701,0.00139407,0.001105553,0.003750253,0.001028429,0.001835603,0.002046504,0.0008721033,0.01323109],"category_scores_gemma":[0.002473738,0.000562929,0.0009433446,0.009945941,0.0004922051,0.0005514196,0.001018425,0.0009916258,0.01040346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007832991,"about_ca_system_score_gemma":0.01972105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9333652,"about_ca_topic_score_gemma":0.9614069,"domain_scores_codex":[0.9993179,0.00002991219,0.00006804273,0.0001460812,0.0002597501,0.0001783921],"domain_scores_gemma":[0.9981185,0.0001435694,0.0001726924,0.0001907532,0.001142111,0.0002324611],"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":[0.000213374,0.00004556119,0.01842744,0.001037412,0.000182678,0.0001217676,0.0001593074,0.001950587,0.0002213674,0.0007319057,0.9705902,0.006318398],"study_design_scores_gemma":[0.00040492,0.00002447305,0.139243,0.0006773217,0.0001100165,0.0001429888,0.0005900399,0.00205363,0.0007701415,0.0006305714,0.8552434,0.0001094785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006843996,0.00005362971,0.00001922853,0.00001882357,0.000005863363,0.000006071397,0.9987574,0.0000635086,0.0003910123],"genre_scores_gemma":[0.001625828,0.00007335896,0.00009569874,0.000009067668,0.000002125542,0.00002503909,0.9974927,0.0000184641,0.000657721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06663483,"threshold_uncertainty_score":0.1340545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04815177462689781,"score_gpt":0.3143109108512701,"score_spread":0.2661591362243723,"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."}}