{"id":"W2779651194","doi":"","title":"The influence of discretising conductivity gradients in the 3-D finite difference EM forward modelling algorithms","year":2007,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite difference; Finite difference method; Algorithm; Mathematics; Applied mathematics; Computer science; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009316282,0.0001461171,0.0001450465,0.00007024278,0.0000967475,0.00004065637,0.0004114866,0.00005261759,9.735994e-7],"category_scores_gemma":[0.000155014,0.00008807701,0.0000377998,0.0003195904,0.0001370061,0.0001562402,0.00005344373,0.0002863107,9.296509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005421628,"about_ca_system_score_gemma":0.000007858315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001945043,"about_ca_topic_score_gemma":0.0001488556,"domain_scores_codex":[0.998984,0.00004318643,0.0002912425,0.0001455525,0.0002222575,0.0003137037],"domain_scores_gemma":[0.9985007,0.001025968,0.00005367707,0.00033681,0.00005318202,0.00002967967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009697476,0.0002375462,0.2020246,0.0003683984,0.0001531396,0.00006801498,0.01942924,0.394193,0.0686671,0.2507865,0.0000505329,0.06392499],"study_design_scores_gemma":[0.0002794303,0.00008525676,0.2620925,0.0002543365,0.00001724017,0.0000212267,0.0009556979,0.2589065,0.01366124,0.4632731,0.00001505196,0.0004383583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624745,0.00003313407,0.3361086,0.00001000549,0.00003454659,0.0001439167,0.000002018188,0.0001435998,0.001049784],"genre_scores_gemma":[0.8833552,0.00002088347,0.1165689,0.00001093543,0.00001391386,0.00001004095,7.41919e-7,0.00001565669,0.000003729977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2208808,"threshold_uncertainty_score":0.3591676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443009634076089,"score_gpt":0.2590475833951884,"score_spread":0.2346174870544275,"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."}}