{"id":"W4413021984","doi":"10.5194/egusphere-2025-3160","title":"Enhanced Markov-Type Categorical Prediction with Geophysical Soft Constraints for Hydrostratigraphic Modeling","year":2025,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"Universiteit Gent; KU Leuven","keywords":"Categorical variable; Markov chain; Type (biology); Geology; Mathematics; Geophysics; Artificial intelligence; Computer science; Statistics","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":[0.001068401,0.0006512412,0.0009303378,0.0006430718,0.0003436751,0.0008832694,0.00173721,0.001055742,0.001847444],"category_scores_gemma":[0.003566764,0.0005688236,0.0009169438,0.0006836864,0.0005976685,0.0009605496,0.001159988,0.001274472,0.0002192728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822731,"about_ca_system_score_gemma":0.001218501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01819835,"about_ca_topic_score_gemma":0.0148774,"domain_scores_codex":[0.9995368,0.0001599624,0.00002272664,0.00009291682,0.0001222303,0.00006534012],"domain_scores_gemma":[0.9976399,0.001614525,0.0002450107,0.0001261315,0.000263006,0.0001115721],"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":[0.00002143374,0.00001436609,0.0006260914,0.00001143906,0.00001026277,0.00003101643,0.00001283262,0.9906111,0.0003410681,0.002298152,0.0001233696,0.005898838],"study_design_scores_gemma":[6.863403e-7,0.000001931201,0.000026162,6.315582e-7,7.239063e-7,0.000001553889,5.103737e-7,0.9994874,0.00003402709,0.0004255936,0.00001969729,0.000001031111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04647763,0.0001343598,0.951429,0.0002346015,0.00002866947,0.00002446395,0.0001803787,0.000481043,0.001009903],"genre_scores_gemma":[0.9093912,0.0001131943,0.08883094,0.0001421596,0.00005553538,0.00008715587,0.0003669674,0.00007058946,0.0009423082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01819835,"threshold_uncertainty_score":0.03618485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195229478794208,"score_gpt":0.2529265506472216,"score_spread":0.2409742558592795,"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."}}