{"id":"W1984341490","doi":"10.1190/1.1990217","title":"Inverting airborne electromagnetic (AEM) data with Zohdy's method","year":2005,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"occam; Inversion (geology); Geology; Conductivity; Electrical resistivity and conductivity; Tempest; Geophysics; Remote sensing; Mineralogy; Seismology; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003581218,0.0002342669,0.0002974804,0.00004528859,0.0001797984,0.00007231899,0.0006910504,0.00006492045,0.0006245532],"category_scores_gemma":[0.000078452,0.0001686918,0.00005120261,0.0007776979,0.00006647048,0.0004270014,0.00005743236,0.0003438118,0.001025368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000481426,"about_ca_system_score_gemma":0.00007289844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508341,"about_ca_topic_score_gemma":0.0006802413,"domain_scores_codex":[0.997961,0.0001860751,0.0002302833,0.0005844674,0.0003798828,0.0006582967],"domain_scores_gemma":[0.9985232,0.0003993914,0.000092003,0.0007177905,0.0000539503,0.0002136297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004442155,0.00004769571,0.001352348,0.00001160087,0.00002535354,0.000007229226,0.00004911642,0.0007283659,0.0003142656,0.000455425,0.0004998453,0.9964643],"study_design_scores_gemma":[0.001003578,0.001742172,0.5757073,0.00003185844,0.0001781056,0.00004554769,0.00004488574,0.3420475,0.003287099,0.02272885,0.05213783,0.001045253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285427,0.0008374639,0.04543015,0.003538527,0.0002296193,0.0004877726,0.0001391514,0.0003654862,0.02042917],"genre_scores_gemma":[0.7144275,0.00002448342,0.2817113,0.001495338,0.001024395,0.000002326509,0.0002665126,0.00001269556,0.001035453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954191,"threshold_uncertainty_score":0.9997525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249295455594047,"score_gpt":0.2592208123015368,"score_spread":0.2367278577455963,"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."}}