{"id":"W2079895116","doi":"10.1190/1.2370388","title":"Evaluating normalized magnetic derivatives for structural mapping","year":2006,"lang":"en","type":"article","venue":"","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Lineament; Magnetic anomaly; Basement; Tectonics; Fault (geology); Seismology; Geophysics","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":[0.000189912,0.00009052441,0.0001268715,0.00003336911,0.0001514685,0.00004095263,0.00009449569,0.00002845024,0.001981212],"category_scores_gemma":[0.0001071387,0.00006160213,0.00005973336,0.0002147147,0.00003138875,0.00008968934,0.000004810312,0.00005104373,0.00004979176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001213259,"about_ca_system_score_gemma":0.00001246104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418792,"about_ca_topic_score_gemma":0.0001633348,"domain_scores_codex":[0.999172,0.00007140891,0.0001617697,0.0001728205,0.0001380145,0.00028396],"domain_scores_gemma":[0.999353,0.0004592091,0.00003619785,0.00006516599,0.00003961487,0.00004682309],"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":[0.0000348704,0.000005340124,0.02276657,0.00001867806,0.000004446666,5.877389e-7,0.00003184374,0.00177108,0.002282931,0.0009318917,0.000156223,0.9719955],"study_design_scores_gemma":[0.0003331377,0.000269922,0.7488565,0.00000273823,0.00000609967,0.000001787863,0.00002150247,0.1838889,0.001035427,0.06444835,0.001010782,0.000124823],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789201,0.0002960793,0.01071569,0.0001962709,0.0001152092,0.0002373678,0.00001088656,0.00005370782,0.009454674],"genre_scores_gemma":[0.8137817,7.865545e-7,0.1844635,0.000134594,0.0001703718,0.000002521518,0.0000351442,0.000001519785,0.001409878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9718707,"threshold_uncertainty_score":0.9989311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04571398880325805,"score_gpt":0.3082637637783079,"score_spread":0.2625497749750499,"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."}}