{"id":"W6974100943","doi":"10.5878/19t9-js25","title":"Land reflection seismic, hydrogeological and magnetic study of an area prone to quick-clay landslides in southwest Sweden - Hydrogeological modeling of an area prone to quick-clay landslides in southwest Sweden","year":2019,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Hydrogeology; Reflection (computer programming); 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":[0.000200665,0.0005160942,0.0004171046,0.001856572,0.0002766921,0.0006224684,0.0006461368,0.0005877502,0.002001465],"category_scores_gemma":[0.0004072219,0.0002310244,0.0004868887,0.002328729,0.0002029717,0.0002271863,0.0004237322,0.0002431793,0.00197169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006985136,"about_ca_system_score_gemma":0.0007034839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09151391,"about_ca_topic_score_gemma":0.1102856,"domain_scores_codex":[0.9998873,0.00001620557,0.00001258822,0.00003206339,0.00002113426,0.00003061921],"domain_scores_gemma":[0.9997938,0.00003420967,0.00003287162,0.0000356466,0.00006687135,0.00003659927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009588239,0.0008931899,0.4211246,0.00146456,0.00067947,0.005662734,0.001857179,0.1630202,0.005179609,0.002283076,0.3311871,0.06568947],"study_design_scores_gemma":[0.0004328726,0.0001097602,0.7116722,0.0004594811,0.0002039758,0.000945971,0.004117629,0.09456728,0.002843339,0.001220895,0.1832533,0.0001731777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5397126,0.0003583644,0.0006871609,0.0002618595,0.00003936739,0.00003833779,0.4556347,0.0006252305,0.002642392],"genre_scores_gemma":[0.3180749,0.0003544802,0.002911959,0.00004079573,0.00002621176,0.0001255252,0.6761569,0.00008026582,0.002228986],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09151391,"threshold_uncertainty_score":0.1819625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09032450813718679,"score_gpt":0.3358402357072177,"score_spread":0.2455157275700309,"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."}}