{"id":"W7107880822","doi":"10.5281/zenodo.17737731","title":"Simmering: Sufficient training of neural networks in Python","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Python (programming language); Artificial neural network; Training (meteorology); Training set; Deep neural networks","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":[0.001783429,0.001591318,0.0008120087,0.0009311629,0.0005766579,0.001583114,0.003545013,0.001188256,0.08242689],"category_scores_gemma":[0.00799762,0.001098819,0.001235543,0.0008308454,0.00121967,0.003131751,0.002892509,0.003051589,0.03935845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006411312,"about_ca_system_score_gemma":0.001640711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00194515,"about_ca_topic_score_gemma":0.00442541,"domain_scores_codex":[0.9984006,0.0003484066,0.000114968,0.0003230683,0.0006136363,0.0001993149],"domain_scores_gemma":[0.9981496,0.0007736358,0.0001059374,0.0005616221,0.0002643303,0.0001450193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007792649,0.0002312169,0.00167923,0.001152433,0.0002447259,0.0003461131,0.0002939038,0.05353886,0.01413903,0.08967016,0.5537021,0.284223],"study_design_scores_gemma":[0.0003435669,0.0001125595,0.0008617002,0.0001509954,0.00003874017,0.0002251895,0.00004291828,0.6055256,0.04067113,0.1350725,0.2168329,0.0001222789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002271615,0.0001299268,0.7244586,0.0003440338,0.0002040904,0.000116176,0.004869762,0.2512513,0.01635443],"genre_scores_gemma":[0.1117148,0.0003248546,0.6965495,0.0009525247,0.0001868502,0.001284186,0.0223244,0.1257569,0.04090595],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08242689,"threshold_uncertainty_score":0.2757454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480486777228611,"score_gpt":0.2636066958023905,"score_spread":0.2155580180795295,"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."}}