{"id":"W4237449230","doi":"10.5194/sed-5-2483-2013","title":"Lithosphere and upper-mantle structure of the southern Baltic Sea estimated from modelling relative sea-level data with glacial isostatic adjustment","year":2013,"lang":"en","type":"preprint","venue":"","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ","keywords":"Geology; Post-glacial rebound; Lithosphere; Deglaciation; Mantle (geology); Ice sheet; Glacial period; Graben; Isostasy; Geophysics; Geomorphology; Seismology; Tectonics","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":[0.0002154501,0.0004507753,0.0002010157,0.0005639053,0.0002312607,0.0006390093,0.0003957494,0.0004772994,0.0007869378],"category_scores_gemma":[0.0006516998,0.000303324,0.0006183588,0.000570447,0.0002337063,0.0003827915,0.0002403205,0.000195504,0.0001667318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355842,"about_ca_system_score_gemma":0.0003843888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04774661,"about_ca_topic_score_gemma":0.03293518,"domain_scores_codex":[0.9999459,0.00001431016,0.000004481834,0.00001688632,0.000006755368,0.00001161454],"domain_scores_gemma":[0.9998749,0.00004291599,0.00002479726,0.00001765145,0.00002290823,0.00001673529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001849188,0.00008066432,0.3281753,0.00005289157,0.0003092506,0.0002540115,0.0001960727,0.656006,0.005184846,0.0002782224,0.0002963883,0.008981558],"study_design_scores_gemma":[0.00005589556,0.00009540164,0.310316,0.00002619545,0.0001098125,0.00005874224,0.000197758,0.6868975,0.001209462,0.0002337232,0.0007704754,0.0000290375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992697,0.00002665264,0.0002766285,0.000008677941,0.000001548704,0.000001536746,0.0001991791,0.00002222335,0.0001939491],"genre_scores_gemma":[0.9991198,0.00002314331,0.0002256467,0.000002747483,0.000001170856,0.000003241754,0.000507978,0.000005384377,0.0001107817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04774661,"threshold_uncertainty_score":0.09493738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05258176048854654,"score_gpt":0.2381306001590029,"score_spread":0.1855488396704563,"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."}}