{"id":"W2012408677","doi":"10.1144/gsl.sp.2007.277.01.08","title":"Curvature for visualization of seismic geomorphology","year":2007,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Visualization; Geomorphology; Curvature; Seismology; Geometry; Computer science; Mathematics; Data mining","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":[0.001062558,0.001122197,0.0005723002,0.002453862,0.000411517,0.002242197,0.0006514868,0.0007202596,0.0147053],"category_scores_gemma":[0.004919722,0.0005157696,0.0006723589,0.001470871,0.0004671452,0.001559143,0.002485139,0.001340615,0.002757398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006261485,"about_ca_system_score_gemma":0.0005370892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909691,"about_ca_topic_score_gemma":0.002286757,"domain_scores_codex":[0.9994136,0.0001909566,0.00004864304,0.00007907518,0.0002162392,0.00005152631],"domain_scores_gemma":[0.9976923,0.001134704,0.0001693318,0.0003931919,0.0004424976,0.0001679145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008198167,0.0001141991,0.005371497,0.001117781,0.0001776257,0.001019274,0.002636666,0.07261638,0.1729499,0.1095058,0.08935336,0.5443177],"study_design_scores_gemma":[0.0001034281,0.0001196585,0.009683318,0.0002662228,0.00006703032,0.001158915,0.000457718,0.6040626,0.06262258,0.0878357,0.2332761,0.0003467214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02127677,0.0007530098,0.9246594,0.0009677878,0.0001265962,0.0001039079,0.003206784,0.04344119,0.00546461],"genre_scores_gemma":[0.3091471,0.001038345,0.6768551,0.0002043011,0.00009375664,0.0001991781,0.002621731,0.006548377,0.003292188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0147053,"threshold_uncertainty_score":0.04919416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170394267675096,"score_gpt":0.2669065653016878,"score_spread":0.2452026226249369,"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."}}