{"id":"W2099735947","doi":"10.1046/j.1365-246x.2001.00324.x","title":"The Fourier transform of controlled-source time-domain electromagnetic data by smooth spectrum inversion","year":2001,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Algorithm; Frequency domain; Fourier transform; Synthetic data; Inversion (geology); A priori and a posteriori; Weighting; Akaike information criterion; Time domain; Mathematics; Computer science; Mathematical analysis; Acoustics; Physics; Statistics; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006724168,0.0001786438,0.0003185176,0.00006197097,0.0003053388,0.0001423882,0.001251898,0.00006022172,0.00214848],"category_scores_gemma":[0.0001745363,0.0001062285,0.000202116,0.0002923186,0.0001714427,0.0003062301,0.00004274373,0.0004894645,0.0002838204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213774,"about_ca_system_score_gemma":0.00005864943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002444132,"about_ca_topic_score_gemma":0.00004538316,"domain_scores_codex":[0.9977476,0.0002253389,0.0004498434,0.0002638081,0.0008637463,0.0004496668],"domain_scores_gemma":[0.9983096,0.0008854977,0.0002156027,0.0002809012,0.0000898469,0.0002185561],"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":[0.002263921,0.0002862961,0.001348154,0.000003886516,0.0002928077,0.00003397508,0.00005664389,0.0001756611,0.003313498,0.0005303908,0.02829729,0.9633975],"study_design_scores_gemma":[0.005619891,0.001886582,0.04415344,0.00003663653,0.0001275742,0.0002316944,0.00007012647,0.2623529,0.000762058,0.1537433,0.5304975,0.0005182383],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188255,0.001007294,0.01239146,0.03694063,0.001127515,0.0004422733,0.0002104519,0.00005154408,0.02900334],"genre_scores_gemma":[0.9785206,0.0006274145,0.002257282,0.0007128711,0.001755073,0.000002077473,0.0002387044,0.00001314265,0.01587277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628792,"threshold_uncertainty_score":0.9987637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009326278674676143,"score_gpt":0.2298706727637425,"score_spread":0.2205443940890664,"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."}}