{"id":"W4392166782","doi":"10.3390/min14030237","title":"Inversion for 3D Conductivity and Chargeability Models Using EM Data Acquired by the New Airborne TargetEM System in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inversion (geology); Offset (computer science); Computer science; Geology; Transmitter; Remote sensing; Conductivity; Physics; Telecommunications; Seismology","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":[0.0005242306,0.0001170394,0.0002067731,0.00002067624,0.00009172843,0.00006826421,0.0002084562,0.00004581656,0.0001188995],"category_scores_gemma":[0.00005442584,0.00007285047,0.00002218295,0.0001950254,0.00002709698,0.000306878,0.00003429211,0.0001063323,0.000001578535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004460268,"about_ca_system_score_gemma":0.0004056439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876965,"about_ca_topic_score_gemma":0.982625,"domain_scores_codex":[0.9989015,0.0001246171,0.0001705973,0.0003854871,0.0001561441,0.0002616087],"domain_scores_gemma":[0.9991908,0.0004030659,0.00002737489,0.000247228,0.00001472689,0.0001167988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004618961,0.0001138695,0.02116618,0.001272902,0.0002132564,0.00006858457,0.002275466,0.01947597,0.01626198,0.0008418208,0.2864479,0.6514001],"study_design_scores_gemma":[0.0001556885,0.00004314156,0.004678568,0.00003181323,0.00002084997,0.000003982753,0.00006902856,0.9765109,0.000246898,0.001511492,0.01659593,0.0001317025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943377,0.001590303,0.002163892,0.0007056691,0.0003331489,0.0003318758,0.0003957664,0.00001964744,0.0001219343],"genre_scores_gemma":[0.9954891,0.000002369189,0.003139069,0.0001556114,0.00008365154,0.000001394904,0.0001912704,0.000002695276,0.0009349054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9570349,"threshold_uncertainty_score":0.2970756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06855847821004041,"score_gpt":0.2540915569259142,"score_spread":0.1855330787158738,"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."}}