{"id":"W6974137903","doi":"10.57804/0jd0-t987","title":"Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden - Modeled subsurface interfaces of an area prone to quick-clay landslides in southwest Sweden","year":2023,"lang":"en","type":"dataset","venue":"Uppsala universitet /DORIS repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Reflection (computer programming); Hydrogeology; Sedimentary rock; Sequence (biology); Electrical resistivity tomography","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":[0.0004050941,0.001179055,0.0008946856,0.002004693,0.0004179739,0.001096686,0.001622136,0.001158559,0.01516363],"category_scores_gemma":[0.001209128,0.0004156675,0.0007905979,0.003576441,0.0002422335,0.0005554455,0.0008586654,0.0007042302,0.01888384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009011711,"about_ca_system_score_gemma":0.001048105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05630598,"about_ca_topic_score_gemma":0.1002989,"domain_scores_codex":[0.9997346,0.00004028816,0.00003154877,0.0000834599,0.000060399,0.00004962107],"domain_scores_gemma":[0.999516,0.0001221266,0.00006000862,0.00009713024,0.0001510109,0.00005368432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001752239,0.0001268121,0.01280981,0.001110688,0.0001520249,0.0002759339,0.0001615971,0.01181056,0.0005023172,0.0009881033,0.9630685,0.008818345],"study_design_scores_gemma":[0.0007165926,0.00006461018,0.06762651,0.0008249425,0.0001257588,0.0002884445,0.0008996884,0.01460955,0.001474714,0.002306763,0.9109395,0.0001230895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002709732,0.0000712762,0.00009500606,0.00005615807,0.00001381201,0.00000628342,0.9962213,0.0002770621,0.0005493078],"genre_scores_gemma":[0.003349227,0.00005738796,0.0003383834,0.00001125267,0.000004418478,0.00003249568,0.995741,0.00003683205,0.0004289786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05630598,"threshold_uncertainty_score":0.1119565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491729329620384,"score_gpt":0.2703216531841361,"score_spread":0.2454043598879322,"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."}}