{"id":"W4417116609","doi":"10.1007/s00024-025-03881-1","title":"Laterally-Constrained Inversion of Airborne TEM Data for Hydrogeological Characterization at Horn River Basin, Canada","year":2025,"lang":"en","type":"article","venue":"Pure and Applied Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Hydrogeology; Lithology; Aquifer; Inversion (geology); Magnetotellurics; Depth sounding; Sedimentary depositional environment; Structural basin; Electrical resistivity tomography","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":[],"consensus_categories":[],"category_scores_codex":[0.00009357909,0.0001286185,0.0002528906,0.0000230249,0.0001293293,0.00001313694,0.0002052599,0.00007083137,0.00005322468],"category_scores_gemma":[0.00002208827,0.00009844554,0.00002885072,0.0002452138,0.00009597125,0.00006779613,0.00006693098,0.00008471842,0.000005318107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000469864,"about_ca_system_score_gemma":0.00008322565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617064,"about_ca_topic_score_gemma":0.00973398,"domain_scores_codex":[0.9991316,0.00002703869,0.000173838,0.0003199448,0.0001255222,0.0002220507],"domain_scores_gemma":[0.9993871,0.0002174078,0.00007337903,0.0002141529,0.00003241298,0.00007551062],"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":[0.0003894776,0.00007722461,0.01153858,0.0002018714,0.00008746583,0.000002842936,0.00006524831,0.0001051443,0.01149076,0.005745606,0.001664187,0.9686316],"study_design_scores_gemma":[0.001093859,0.000196119,0.8851977,0.00002843343,0.000131667,0.00000126476,0.0000222931,0.02809412,0.01039299,0.03715117,0.03729239,0.0003979761],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960275,0.00003362394,0.001163331,0.0007901978,0.0001022979,0.0002705027,0.000636571,0.00001663537,0.0009593675],"genre_scores_gemma":[0.9961714,0.0000148642,0.0008324189,0.0007829467,0.0000739243,0.000002829129,0.001790685,0.000001957412,0.0003289407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9682336,"threshold_uncertainty_score":0.9903808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252549046668344,"score_gpt":0.2072988000131509,"score_spread":0.1947733095464674,"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."}}