{"id":"W3191173744","doi":"10.36227/techrxiv.15086277.v1","title":"A Unified Study on L1 over L2 Minimization","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; University at Albany; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Convergence (economics); Mathematics; Projection (relational algebra); Applied mathematics; Constraint (computer-aided design); Matrix (chemical analysis); Algorithm; Operator (biology); Minification; Property (philosophy); Mathematical optimization; Set (abstract data type); Computer science; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005174231,0.002090584,0.001190866,0.001172376,0.000681843,0.001963276,0.001536802,0.002001145,0.003946843],"category_scores_gemma":[0.009923354,0.0006753451,0.001701941,0.001475284,0.002362517,0.0049065,0.003525564,0.003578534,0.0008143476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352543,"about_ca_system_score_gemma":0.001331011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214721,"about_ca_topic_score_gemma":0.001438677,"domain_scores_codex":[0.9975027,0.001299245,0.0001106916,0.0004676487,0.000440395,0.0001791637],"domain_scores_gemma":[0.9961739,0.002399195,0.0003283164,0.0003541196,0.0005420058,0.0002024592],"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":[0.00008968377,0.00007715197,0.0009818188,0.0008146059,0.000110927,0.0003064178,0.0002943485,0.1193726,0.004440122,0.8235233,0.009099646,0.04088948],"study_design_scores_gemma":[0.00001419576,0.0001660115,0.0003071225,0.0001353037,0.0000526682,0.0003060253,0.00008829319,0.78413,0.001811347,0.1999831,0.01296166,0.00004427901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005256803,0.005100684,0.9747959,0.002035164,0.0002630706,0.00002886551,0.0001008109,0.00006866935,0.01234997],"genre_scores_gemma":[0.4793225,0.03187585,0.4422258,0.00473964,0.004246809,0.0004593499,0.0007615567,0.001096925,0.03527162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005174231,"threshold_uncertainty_score":0.02736431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189273585274311,"score_gpt":0.2669794830810623,"score_spread":0.2350867472283192,"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."}}