{"id":"W4409348651","doi":"10.1609/aaai.v39i27.35103","title":"Automated, Interpretable, and Scalable Scientific Machine Learning","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Scalability; Machine learning; Artificial intelligence; Data science; Operating system","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005444341,0.0002003213,0.000321191,0.0005856724,0.0007754485,0.002282403,0.002237429,0.00006331263,0.0002310403],"category_scores_gemma":[0.006269965,0.0001315252,0.00009908549,0.002616339,0.0008164276,0.0003888299,0.001501253,0.0003151864,0.0001928623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003485561,"about_ca_system_score_gemma":0.00009114996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007488462,"about_ca_topic_score_gemma":0.00002978767,"domain_scores_codex":[0.996604,0.00005242795,0.0008694627,0.001009148,0.001105525,0.0003594965],"domain_scores_gemma":[0.997462,0.000460289,0.0004221868,0.0005603312,0.001008722,0.00008645487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000112312,0.0001734902,0.00620202,0.00005609788,0.00003059993,5.578472e-7,0.001134658,0.000619329,0.0155333,0.653983,0.0142489,0.3079057],"study_design_scores_gemma":[0.00003638295,0.00007061303,0.0008634178,0.0003373917,0.00002216161,0.000002012189,0.001821088,0.7418604,0.05132159,0.1954809,0.008002735,0.0001812565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442763,0.000225887,0.01201817,0.008670294,0.004377408,0.0008763181,0.00003062322,0.0005307466,0.1289942],"genre_scores_gemma":[0.9840239,0.00001141827,0.0006687199,0.0001329714,0.00001757645,0.000008368394,0.000001128046,0.000006374425,0.0151295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7412412,"threshold_uncertainty_score":0.9987533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189146350175846,"score_gpt":0.3751937663386241,"score_spread":0.2562791313210395,"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."}}