{"id":"W4413954878","doi":"10.1093/gji/ggaf348","title":"Complex-valued neural networks for spectral induced polarization applications","year":2025,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Polarization (electrochemistry); Geology; Computer science; Artificial intelligence; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009412155,0.0006257613,0.0003060256,0.0003497917,0.0001609569,0.000683661,0.0006820919,0.0007190041,0.002267299],"category_scores_gemma":[0.003071967,0.0002052392,0.0003553107,0.000418626,0.0004197863,0.0006812718,0.0005405436,0.00105348,0.0004685674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946367,"about_ca_system_score_gemma":0.0003954034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002973541,"about_ca_topic_score_gemma":0.002338568,"domain_scores_codex":[0.9997488,0.00008154762,0.00001873375,0.00005738653,0.00006894336,0.00002465741],"domain_scores_gemma":[0.9986053,0.000797326,0.0001192034,0.00009795425,0.0003569284,0.00002340716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008116589,0.00006357019,0.0007676579,0.00007635324,0.00003383369,0.00004491465,0.00003109809,0.8771124,0.005466898,0.006467285,0.001594468,0.1082604],"study_design_scores_gemma":[0.000001791212,0.00001185182,0.00008668998,0.000005184466,0.000002683931,0.000004786815,0.000003378519,0.9966773,0.0009719642,0.001899288,0.0003324209,0.000002659494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08733315,0.001566208,0.9025806,0.0008437107,0.0001800714,0.00006833076,0.0002823919,0.001235186,0.005910222],"genre_scores_gemma":[0.8689182,0.0005752178,0.1259065,0.0002442872,0.00005477151,0.0001197161,0.0004539962,0.00008445231,0.003642822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002973541,"threshold_uncertainty_score":0.00758487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612841479512227,"score_gpt":0.2977670803065803,"score_spread":0.271638665511458,"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."}}