{"id":"W3108226689","doi":"10.1002/essoar.10504718.1","title":"Lithospheric Structure of Africa and Surrounding Regions Revealed by Earthquake and Ambient Noise Surface Wave Tomography","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"National Natural Science Foundation of China","keywords":"Geology; Seismology; Ambient noise level; Lithosphere; Crust; Tectonics; Seismic noise; Seismic hazard; Rayleigh wave; Seismic tomography; Mantle (geology); Geophysics; Surface wave; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001532419,0.0003489512,0.0001809011,0.0008743877,0.0001739457,0.0003983316,0.0002343089,0.0002622223,0.0003691419],"category_scores_gemma":[0.000689816,0.0001786661,0.0002555338,0.001094532,0.0002253951,0.0004888545,0.0004291635,0.0001575418,0.00009684537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024109,"about_ca_system_score_gemma":0.0003504144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130088,"about_ca_topic_score_gemma":0.0105657,"domain_scores_codex":[0.9999303,0.00001368359,0.000005169865,0.00002021362,0.00001135416,0.00001937233],"domain_scores_gemma":[0.9999093,0.00001387748,0.00003719358,0.00001277485,0.00001456394,0.00001231599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003001796,0.00006354378,0.7275978,0.00009867707,0.0001799622,0.001335264,0.0008528195,0.1721477,0.03605349,0.00249987,0.0005828844,0.05828784],"study_design_scores_gemma":[0.0000358651,0.00007216063,0.6013187,0.00006010347,0.0001129782,0.000440579,0.000630382,0.3891501,0.003965005,0.001158761,0.003009054,0.00004626625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970511,0.000115856,0.002142859,0.00003588394,0.000003070076,0.000003088895,0.0001990415,0.00002610918,0.000422989],"genre_scores_gemma":[0.9985423,0.0001219824,0.0009912548,0.000004157193,0.000004313378,0.000002467645,0.0002478929,0.00000611087,0.00007949615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130088,"threshold_uncertainty_score":0.02247024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828546934571776,"score_gpt":0.2005005656719632,"score_spread":0.1822150963262454,"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."}}