{"id":"W4417317659","doi":"10.5194/egusphere-2025-5100-cc1","title":"Reply on CEC1","year":2025,"lang":"","type":"preprint","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Python (programming language); Software; Artificial neural network; Intrusion; Convergence (economics); Feature (linguistics); Inference","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007037199,0.0004867887,0.0007229796,0.0002755699,0.000346209,0.0001983797,0.0008584867,0.0004519374,0.0489166],"category_scores_gemma":[0.0002522244,0.0003404444,0.0006037013,0.0004255562,0.00009555676,0.00003868122,0.0001699914,0.001065551,0.007343436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006910758,"about_ca_system_score_gemma":0.0001716536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464625,"about_ca_topic_score_gemma":0.001106333,"domain_scores_codex":[0.9965271,0.0002480136,0.0006870545,0.001450953,0.0005008435,0.0005860791],"domain_scores_gemma":[0.9980049,0.0003907479,0.000181251,0.00102626,0.0001132075,0.0002837017],"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":[0.0000671117,0.00007832629,0.02843341,0.00007863536,0.0001810313,0.00002053205,0.00005254703,0.7972907,1.837155e-7,0.0005513277,0.01290614,0.16034],"study_design_scores_gemma":[0.0001932156,0.0003496,0.01959211,0.0003167953,0.0002626643,0.000001809786,0.00009296627,0.7791057,0.00002041657,0.01387325,0.1854604,0.0007309881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01545749,0.001066854,0.004739735,0.01822808,0.002349187,0.0002696721,0.0003167862,0.0001672338,0.957405],"genre_scores_gemma":[0.8057836,0.001565114,0.001846907,0.01158972,0.0003113124,0.000002296194,0.0003827159,0.000001845493,0.1785165],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7903261,"threshold_uncertainty_score":0.9999048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552911103169702,"score_gpt":0.2410486183250613,"score_spread":0.2055195072933643,"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."}}