{"id":"W2754500197","doi":"","title":"Eine Methode zur Variation sturmflutrelevanter Wetterlagen über der Ostsee","year":2009,"lang":"de","type":"article","venue":"Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau)","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political science","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":[0.002035573,0.0007923096,0.0009257116,0.001425703,0.000425858,0.001159038,0.001294462,0.001103877,0.006749419],"category_scores_gemma":[0.007422971,0.0006560098,0.001885869,0.001496624,0.0004113308,0.0007957595,0.001223916,0.001420142,0.001421706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005179632,"about_ca_system_score_gemma":0.001332693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136807,"about_ca_topic_score_gemma":0.01032922,"domain_scores_codex":[0.9989957,0.0002590421,0.00009459093,0.0003461405,0.0002426419,0.00006198505],"domain_scores_gemma":[0.9973682,0.001747641,0.0001574978,0.0003330891,0.0003581986,0.00003533413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007692925,0.0003821093,0.01316494,0.001304999,0.001035091,0.0001400076,0.0007060422,0.4093684,0.04711449,0.01103618,0.002638044,0.5123404],"study_design_scores_gemma":[0.0001157677,0.0002880216,0.01082506,0.00009568915,0.0001500113,0.00009077603,0.0001827535,0.9487191,0.02297346,0.005916434,0.01053943,0.0001033239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02507126,0.0001544335,0.9712912,0.00003398106,0.00005426928,0.0002428893,0.001104083,0.00128866,0.0007591881],"genre_scores_gemma":[0.1691818,0.0002661132,0.8218637,0.00005699238,0.00003015513,0.001822822,0.002370593,0.0009051758,0.003502674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01136807,"threshold_uncertainty_score":0.02260381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009746285520423907,"score_gpt":0.237895834784354,"score_spread":0.2281495492639301,"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."}}