{"id":"W4399785494","doi":"10.1029/2024ea003510","title":"Mapping Lava Flows on Venus Using SAR and InSAR: Hawaiʻi Case Study","year":2024,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Aeronautics and Space Administration","keywords":"Venus; Interferometric synthetic aperture radar; Lava; Geology; Geodesy; Remote sensing; Lava field; Synthetic aperture radar; Volcano; L band; Seismology; Astrobiology; Physics","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":[0.0004823414,0.0003036211,0.0001680101,0.0008035899,0.0005358566,0.0006668682,0.0005693872,0.0005932056,0.0003953375],"category_scores_gemma":[0.0006840328,0.0001161242,0.0002709362,0.001050354,0.0003337564,0.0003726721,0.0004335542,0.0002369997,0.0001060391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006422015,"about_ca_system_score_gemma":0.0003906016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358609,"about_ca_topic_score_gemma":0.04070823,"domain_scores_codex":[0.9997191,0.00007010815,0.00001565421,0.00004879941,0.00007392888,0.00007252102],"domain_scores_gemma":[0.9995178,0.0001678474,0.00007100488,0.00005117984,0.00008635556,0.0001058384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009365313,0.001239655,0.7604742,0.0002230379,0.0003378246,0.03153351,0.002430983,0.09664135,0.02013955,0.002099909,0.003923973,0.08001942],"study_design_scores_gemma":[0.0001324881,0.00104796,0.627065,0.00007883787,0.0002200513,0.007639353,0.01012122,0.32422,0.017021,0.00125166,0.0110932,0.0001092173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973844,0.00007929501,0.0009787471,0.00008190195,0.000003966955,0.00002509738,0.0001983923,0.00002835137,0.001219992],"genre_scores_gemma":[0.9956509,0.00006815016,0.003257549,0.00001577014,0.000007030345,0.000009168722,0.0004224266,0.00000536555,0.0005635648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02358609,"threshold_uncertainty_score":0.04689759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02765084766424637,"score_gpt":0.2593754391246961,"score_spread":0.2317245914604497,"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."}}