{"id":"W2599160982","doi":"10.3997/1873-0604.2016052","title":"Comparison between 2D and 3D ERT inversion for engineering site investigations – a case study from Oslo Harbour","year":2016,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Harbour; Inversion (geology); Geology; Excavation; Engineering geology; Regional geology; Economic geology; Environmental geology; Electrical resistivity tomography; Telmatology; Seismology; Hydrogeology; Electrical resistivity and conductivity; Geotechnical engineering; Engineering; Computer science; Volcanism; Tectonics","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":[0.0007284269,0.0006946477,0.0003780691,0.001390436,0.0003215405,0.001254334,0.0006551897,0.0007739585,0.001045965],"category_scores_gemma":[0.001523279,0.0002923802,0.0005858107,0.001297165,0.0004542741,0.0005049199,0.0005437865,0.0002594935,0.0004458153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004774742,"about_ca_system_score_gemma":0.000786735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04067748,"about_ca_topic_score_gemma":0.07524317,"domain_scores_codex":[0.999679,0.00006641285,0.0000251809,0.00007896783,0.00009111167,0.00005934712],"domain_scores_gemma":[0.9993352,0.0002541933,0.00005774856,0.0001081867,0.0002087524,0.00003593028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001272498,0.001029897,0.1313544,0.0004796233,0.0002540666,0.007189706,0.001721873,0.553817,0.08436326,0.001704763,0.00293997,0.2138729],"study_design_scores_gemma":[0.00009691974,0.0002073033,0.1267163,0.00007410169,0.00008980142,0.000619054,0.001452381,0.8530469,0.01315089,0.0004624556,0.003984085,0.00009976704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796626,0.0001003269,0.0167489,0.0001235531,0.00002347352,0.00004907301,0.001184353,0.0002615417,0.001846107],"genre_scores_gemma":[0.9764279,0.00009473433,0.02110907,0.00002173813,0.00001163213,0.00002638461,0.00151423,0.00005525673,0.0007391665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04067748,"threshold_uncertainty_score":0.08088142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196582171324556,"score_gpt":0.2796402005421966,"score_spread":0.247674378828951,"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."}}