{"id":"W4408425925","doi":"10.5194/egusphere-egu25-7718","title":"Dataset preparation for Resolving Apparent Source Time Functions (ASTF) and Evalutions Using Basic ML-models","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001726326,0.0002629757,0.0002748306,0.000117699,0.0004366497,0.0001643974,0.0001284362,0.0001200172,0.0004013526],"category_scores_gemma":[0.000004424214,0.0002623252,0.0001358915,0.00009054198,0.00004298806,0.0001786612,0.0003859159,0.0003040567,0.000009004673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005285729,"about_ca_system_score_gemma":0.0001680361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000237698,"about_ca_topic_score_gemma":0.000008587557,"domain_scores_codex":[0.9985971,0.00006500576,0.0003467421,0.0006176471,0.0001304033,0.0002431222],"domain_scores_gemma":[0.9990833,0.0000817647,0.000161451,0.000475116,0.0001034773,0.00009483258],"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":[0.00005504636,0.00009875079,0.00004419469,0.00007181682,0.0001641077,4.446666e-8,0.00008856606,0.8909058,0.0001518888,0.00462849,0.09748068,0.006310625],"study_design_scores_gemma":[0.0002471054,0.000016899,0.000005415825,0.0001068423,0.0002204736,8.127543e-7,0.00007767831,0.9729317,0.00007137923,0.005670321,0.02041067,0.0002407328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007592965,0.000127572,0.9801778,0.0001949409,0.0005033289,0.001087261,0.00599406,0.00006903015,0.004253001],"genre_scores_gemma":[0.8636778,0.00004228717,0.01976393,0.0002475793,0.002752937,0.001065403,0.06174771,0.00008364839,0.05061869],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9604139,"threshold_uncertainty_score":0.9999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06000902350970039,"score_gpt":0.3352786341439747,"score_spread":0.2752696106342744,"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."}}