{"id":"W4240572102","doi":"10.4211/hs.ea4ccadf124b4bed86fe6fc7efd8c779","title":"2 - Discharge time series data","year":2020,"lang":"en","type":"dataset","venue":"HydroShare Resources","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Series (stratigraphy); Computer science; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008680848,0.002444662,0.001183683,0.002966114,0.0005710952,0.001210935,0.002668836,0.002363792,0.02766347],"category_scores_gemma":[0.003081959,0.0004722528,0.001591112,0.004173887,0.0005217541,0.0008675667,0.001358088,0.001403834,0.04930817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008485512,"about_ca_system_score_gemma":0.001494706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01887034,"about_ca_topic_score_gemma":0.02950258,"domain_scores_codex":[0.9992496,0.0001007965,0.00007267289,0.0001995822,0.0002163554,0.0001610209],"domain_scores_gemma":[0.9987374,0.0001621531,0.00009733989,0.0003745684,0.0004522952,0.000176251],"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":[0.0002978623,0.0002016806,0.002675981,0.00058504,0.00006515214,0.00009211289,0.00003436936,0.003363288,0.0007264664,0.0005310223,0.9812122,0.01021471],"study_design_scores_gemma":[0.0008212082,0.0001863228,0.03004269,0.0003353683,0.00009028748,0.0003190735,0.000284724,0.009161018,0.002881772,0.002474278,0.953266,0.0001373158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002784798,0.00007813985,0.0002391828,0.0001135537,0.0001054862,0.0000355138,0.9946499,0.0007160437,0.001277333],"genre_scores_gemma":[0.002494379,0.00004578893,0.0004735558,0.00005244723,0.00001753669,0.00007244368,0.9957313,0.00005631275,0.001056222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02766347,"threshold_uncertainty_score":0.09254354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891512955925042,"score_gpt":0.2555711322209986,"score_spread":0.2266560026617482,"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."}}