{"id":"W4403702163","doi":"10.1111/1365-2478.13629","title":"Full‐tensor magnetic gradiometry: Comparison with scalar total magnetic intensity, processing and visualization guidelines","year":2024,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Frontier Geosciences (Canada)","funders":"","keywords":"Visualization; Geology; Scalar (mathematics); Intensity (physics); Geometry; Physics; Data mining; Computer science; Optics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678237,0.0002871921,0.0004299906,0.0001593833,0.000296915,0.0004623364,0.0001229718,0.00008044198,0.000141478],"category_scores_gemma":[0.0002164191,0.0002013162,0.00006948691,0.001675642,0.0001774546,0.0002908137,0.00003923139,0.0003764852,0.0001375769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009263248,"about_ca_system_score_gemma":0.00003799892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005389937,"about_ca_topic_score_gemma":0.00006016333,"domain_scores_codex":[0.9979042,0.00007488539,0.0003807127,0.000669587,0.0004437402,0.0005268301],"domain_scores_gemma":[0.9991596,0.00022399,0.00006874249,0.0001381748,0.0001952967,0.0002141803],"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":[0.0001656798,0.00006706062,0.02587076,0.0002645395,0.00001807946,0.0000404946,0.0002575753,0.0003189485,0.0007606847,0.000444791,0.0001069545,0.9716845],"study_design_scores_gemma":[0.0002305483,0.002258619,0.4334141,0.0001950091,0.00008837626,0.000126659,0.0001398451,0.555492,0.0003350095,0.007023074,0.0002897565,0.0004069882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886709,0.004760754,0.004305443,0.0006578256,0.0002360718,0.0003159429,0.000008128306,0.0003325373,0.0007124118],"genre_scores_gemma":[0.9906087,0.0000133992,0.008182797,0.000123708,0.000657659,0.000004282491,0.00002241032,0.00001563085,0.0003714072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9712774,"threshold_uncertainty_score":0.8209435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230632086924159,"score_gpt":0.288255843506989,"score_spread":0.2651926348145731,"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."}}