{"id":"W2779968414","doi":"10.1109/globalsip.2017.8309025","title":"A theory of generalized proximity for ADMM","year":2017,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Theoretical computer science","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":[0.003786922,0.001242372,0.001338484,0.001509512,0.001033416,0.002518645,0.001637456,0.002343599,0.00510626],"category_scores_gemma":[0.01028274,0.0006580164,0.001462295,0.00173354,0.003716075,0.00401441,0.004467534,0.005384407,0.001397903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000966437,"about_ca_system_score_gemma":0.0009666188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006395211,"about_ca_topic_score_gemma":0.0005142895,"domain_scores_codex":[0.9969071,0.001401056,0.0001728612,0.000530331,0.0008912721,0.00009729743],"domain_scores_gemma":[0.9970692,0.001720591,0.0002718339,0.0004088394,0.0004042482,0.0001253561],"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":[0.00001596753,0.00001272399,0.0001052284,0.0001537792,0.00003551475,0.00007011357,0.0001270087,0.02724737,0.0006358966,0.9473076,0.002079353,0.02220945],"study_design_scores_gemma":[0.00001938878,0.0001117477,0.0001048211,0.00008092321,0.00002593243,0.0003160422,0.00004893705,0.1734618,0.000754384,0.7990359,0.02601336,0.00002685306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007128819,0.0005397808,0.9942943,0.0003395329,0.0001017328,0.00001885812,0.0000284807,0.00004856981,0.003915852],"genre_scores_gemma":[0.1369666,0.004107439,0.8419906,0.001519658,0.001465854,0.000438475,0.0002659659,0.0002209705,0.01302445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00510626,"threshold_uncertainty_score":0.0200274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04176368230635037,"score_gpt":0.2738300300705743,"score_spread":0.232066347764224,"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."}}