{"id":"W2184912706","doi":"10.1071/aseg2010ab221","title":"Effect of magnetic field direction and source orientation on depth estimation solutions","year":2010,"lang":"en","type":"article","venue":"Exploration Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Orientation (vector space); Magnetic field; Tilt (camera); Field (mathematics); Enhanced Data Rates for GSM Evolution; Planar; Geometry; Asymmetry; Computational physics; Physics; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002135372,0.00009573055,0.0001182232,0.00005416941,0.0001449277,0.00002940403,0.00004436026,0.00005748458,0.00008646905],"category_scores_gemma":[0.000228713,0.00007748273,0.00003524667,0.0002983108,0.00003868726,0.000300656,0.000004989482,0.0001627084,0.00008816215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001407619,"about_ca_system_score_gemma":0.000009554387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160935,"about_ca_topic_score_gemma":0.0001485892,"domain_scores_codex":[0.9992609,0.0001296728,0.0001391176,0.0001684003,0.0001713916,0.0001305419],"domain_scores_gemma":[0.9990909,0.0006248052,0.00007576507,0.0001099362,0.00004041245,0.0000581451],"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":[0.00006470523,0.00002129237,0.001428946,0.00001675097,0.000002888529,1.496572e-7,0.0001393567,0.002443041,0.002371504,0.0005633554,0.00003979596,0.9929082],"study_design_scores_gemma":[0.000993188,0.01082714,0.4164981,0.00003100704,0.00009608632,0.000004014971,0.00006716769,0.4485986,0.0821679,0.03937623,0.0009087236,0.0004317969],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674045,0.00002041843,0.03058317,0.000223735,0.0003861367,0.0001898862,0.000004641307,0.00004490562,0.001142593],"genre_scores_gemma":[0.9982224,0.000008707335,0.001403243,0.00005459945,0.0001303279,0.000005954187,0.00006305765,0.000002610577,0.0001090804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924764,"threshold_uncertainty_score":0.3159654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012657730364494,"score_gpt":0.2511982237210463,"score_spread":0.2385404933565523,"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."}}