{"id":"W2974481178","doi":"10.1134/s0097807819050117","title":"Seiches in Petrozavodsk Bay, Lake Onega","year":2019,"lang":"en","type":"article","venue":"Water Resources","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seiche; Bay; Geology; Hydrogeology; Water level; Oceanography; Meteorology; Hydrology (agriculture); Geography; Geotechnical engineering","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":[0.0001407622,0.0002969928,0.0003830149,0.001136999,0.0004359509,0.0006246804,0.0003190074,0.0002460906,0.0005606341],"category_scores_gemma":[0.0002994102,0.0002632873,0.0003298196,0.001201599,0.0003820933,0.0002451137,0.000574919,0.0001955063,0.0001456201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577855,"about_ca_system_score_gemma":0.001376558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1954809,"about_ca_topic_score_gemma":0.3154078,"domain_scores_codex":[0.999844,0.000009273267,0.00001485755,0.00005697481,0.00003665327,0.0000382117],"domain_scores_gemma":[0.9998671,0.00001527422,0.00004388228,0.00001426874,0.00003769097,0.00002180716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006293726,0.00005091846,0.9541735,0.0002569733,0.0002090008,0.0008215292,0.001431372,0.007002809,0.01442596,0.000205937,0.0004131441,0.0203795],"study_design_scores_gemma":[0.00001273624,0.00003905412,0.9963009,0.00001583514,0.00002378921,0.00009484907,0.000427481,0.001321523,0.0006505309,0.00002495088,0.001080537,0.000007710428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981804,0.0001516056,0.0001600309,0.0000115254,0.000002847119,0.000008364724,0.0008722505,0.00002002605,0.000592996],"genre_scores_gemma":[0.9983576,0.00009019554,0.0002680379,0.000003253305,8.996752e-7,0.000009891131,0.0009826347,0.000003902306,0.000283487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954809,"threshold_uncertainty_score":0.3886862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006182106152792926,"score_gpt":0.1578256280016278,"score_spread":0.1516435218488348,"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."}}