{"id":"W4399145144","doi":"10.2139/ssrn.4846835","title":"A Novel Joint-Teaching Sparse Learning by Fractional Function and Generalized Fused Lasso to Identify Dynamical Systems","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lasso (programming language); Joint (building); Applied mathematics; Function (biology); Mathematics; Artificial intelligence; Computer science; Machine learning; Engineering","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":[0.001454317,0.001058173,0.001559831,0.0006789869,0.0006085589,0.001015781,0.00139906,0.001921061,0.002532703],"category_scores_gemma":[0.003741304,0.0005442158,0.001207967,0.00084176,0.0009063183,0.001685504,0.002387553,0.001683265,0.0007140614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003404021,"about_ca_system_score_gemma":0.0009028083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473581,"about_ca_topic_score_gemma":0.003117851,"domain_scores_codex":[0.9992508,0.0002413665,0.00004532915,0.0002163577,0.0001721992,0.00007373924],"domain_scores_gemma":[0.9988748,0.0005646208,0.000109109,0.0001499305,0.0002176203,0.00008381675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003075973,0.0002478592,0.001475128,0.0002884411,0.0002881134,0.0002120227,0.0002209213,0.6600825,0.01419191,0.03687225,0.005168383,0.2806449],"study_design_scores_gemma":[0.000004859448,0.00001876052,0.00006176251,0.000003228812,0.000007164669,0.00001277061,0.000003626683,0.9968019,0.0003234909,0.002509232,0.0002480236,0.000005179085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005966941,0.0002169241,0.9924959,0.0001309257,0.00006290087,0.00001955045,0.00004134955,0.0002422053,0.000823422],"genre_scores_gemma":[0.5279174,0.0004212377,0.4638644,0.0005074716,0.0003600387,0.0002482402,0.0004754023,0.0001880177,0.006017893],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002532703,"threshold_uncertainty_score":0.008472681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737027029458459,"score_gpt":0.2789933283340848,"score_spread":0.2616230580395002,"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."}}