{"id":"W2989046584","doi":"10.1080/22020586.2019.12073032","title":"Potential field analysis of the East African Rift in eastern Tanzania – guiding seismic survey planning","year":2019,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada)","funders":"","keywords":"Geology; Rift; Structural basin; Basement; Precambrian; East African Rift; Paleontology; Sedimentary basin; Sedimentary rock; Tanzania; Fault (geology); Seismology; Geomorphology; Geography; Archaeology","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":[0.0006915836,0.0001299773,0.0002567596,0.0002832103,0.00006198283,0.000040065,0.0003701086,0.00007702179,0.0006060774],"category_scores_gemma":[0.0001014983,0.00009670166,0.0001246159,0.0007292444,0.0000417562,0.0001684069,0.00002692422,0.0001722403,0.00005759901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005944536,"about_ca_system_score_gemma":0.00004697884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02897173,"about_ca_topic_score_gemma":0.0004429645,"domain_scores_codex":[0.9986835,0.0001338782,0.000344427,0.0002610547,0.000300692,0.0002764524],"domain_scores_gemma":[0.9991757,0.000189572,0.000210208,0.000323557,0.00003986693,0.00006112477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007368789,0.00003307985,0.902842,0.00001354036,0.000120085,0.00002202274,0.0003757538,0.04962467,0.0002084628,0.000003971164,0.001437312,0.04524535],"study_design_scores_gemma":[0.0001311886,0.00003828651,0.8962252,0.00003987233,0.00005095206,0.000003569944,0.000260145,0.1009702,0.001768847,0.00006971203,0.0003278663,0.000114149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902208,0.0000822997,0.0001220912,0.0002900416,0.0002903584,0.0001161654,0.00006662094,0.00003508283,0.008776492],"genre_scores_gemma":[0.998724,0.000005129764,0.000119689,0.0007770243,0.0000201092,3.77414e-7,0.00007076471,0.000003733699,0.0002791907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05134555,"threshold_uncertainty_score":0.9774944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203438155174912,"score_gpt":0.2386296590755263,"score_spread":0.2165952775237772,"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."}}