{"id":"W7125687768","doi":"10.22564/19cisbgf2025.702","title":"Velocity downward continuation through generative models","year":2025,"lang":"","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Generative grammar; Continuation; Prior probability; Generative model; Presentation (obstetrics); Distribution (mathematics); Submarine pipeline","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":[0.002125793,0.0010099,0.0008819011,0.001518377,0.0009366018,0.002408628,0.001615639,0.001867226,0.006058777],"category_scores_gemma":[0.01107695,0.001253486,0.002249846,0.0009037929,0.001956503,0.002984135,0.002722494,0.002521309,0.001353137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037076,"about_ca_system_score_gemma":0.001276978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362905,"about_ca_topic_score_gemma":0.01672294,"domain_scores_codex":[0.9992398,0.0002789478,0.00003290187,0.0002015453,0.0001509801,0.00009590386],"domain_scores_gemma":[0.9946306,0.004179742,0.0003167495,0.000433053,0.0002740117,0.0001658797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003654598,0.00002044783,0.001248535,0.00003659376,0.00003098791,0.0001083835,0.0001811133,0.8236174,0.00055413,0.1547098,0.001254843,0.01820125],"study_design_scores_gemma":[0.000004103514,0.000004276525,0.00005760297,0.00001151597,0.00000495477,0.00001454904,0.000008305509,0.9392543,0.0001417281,0.05970752,0.0007833599,0.000007746874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01019266,0.0001488087,0.9849127,0.0003525396,0.00003229676,0.00002326894,0.0001726028,0.0006394908,0.003525567],"genre_scores_gemma":[0.7318846,0.0006715243,0.2452177,0.0003788877,0.0001687305,0.0003117385,0.001192767,0.0009259782,0.01924801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01362905,"threshold_uncertainty_score":0.02709943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297356064614534,"score_gpt":0.255039135840275,"score_spread":0.2253035293788216,"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."}}