{"id":"W4406482962","doi":"","title":"Geometry of Sparsity-Inducing Norms","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geometry; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242409,0.0009132966,0.0008317374,0.002188257,0.0008392312,0.003918148,0.0009444566,0.001048258,0.01071052],"category_scores_gemma":[0.007096661,0.000412372,0.0006005982,0.0009206031,0.00254068,0.003187675,0.002730036,0.003306686,0.002628663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144218,"about_ca_system_score_gemma":0.0005944505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197798,"about_ca_topic_score_gemma":0.000691877,"domain_scores_codex":[0.9985782,0.0004620902,0.00005863265,0.0003268259,0.0004626498,0.0001114757],"domain_scores_gemma":[0.9956802,0.00182341,0.0005590678,0.000320383,0.001087864,0.0005290909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004228474,0.00001333122,0.0002323829,0.00007148222,0.000009570975,0.00008300738,0.0001010463,0.00342128,0.00172898,0.9795092,0.006143496,0.008644005],"study_design_scores_gemma":[0.00001367192,0.00003248996,0.0003298529,0.00002451014,0.000006248121,0.0002396275,0.00005518096,0.02113685,0.0009969403,0.9682345,0.0089147,0.00001545217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1525712,0.002370105,0.6696084,0.008487396,0.001008305,0.0001161215,0.002084205,0.0006334924,0.1631207],"genre_scores_gemma":[0.827513,0.00350073,0.0886398,0.00181184,0.002945848,0.0002522685,0.003015819,0.001055185,0.07126551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01071052,"threshold_uncertainty_score":0.0358302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024339510254735,"score_gpt":0.2652229262964743,"score_spread":0.2408834160417393,"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."}}