{"id":"W2569608961","doi":"10.2514/6.2017-1261","title":"Norm-Constrained Forward-Backward Smoothing","year":2017,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Smoothing; Norm (philosophy); Computer science; Mathematical optimization; Mathematics; Computer vision; Political 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":[0.001787547,0.0009574823,0.001162342,0.0006309433,0.0006968497,0.001016737,0.001456564,0.00147257,0.005828762],"category_scores_gemma":[0.004623881,0.0007228243,0.0008845882,0.0009609057,0.0007652788,0.00138923,0.001561925,0.001722946,0.002419124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006721654,"about_ca_system_score_gemma":0.002507822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136315,"about_ca_topic_score_gemma":0.01263608,"domain_scores_codex":[0.9992577,0.0001542753,0.00005659244,0.0001713485,0.000280919,0.00007919159],"domain_scores_gemma":[0.9986821,0.0004415391,0.00006105367,0.0002712838,0.000493845,0.00005018992],"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":[0.0007705941,0.0001690153,0.0007881864,0.0001897305,0.0001258141,0.0001085524,0.0001034005,0.5499707,0.01835189,0.0589191,0.01027152,0.3602315],"study_design_scores_gemma":[0.00001035404,0.00001481092,0.00007495071,0.00000429555,0.000008064856,0.00001788727,0.000004825621,0.9896572,0.002891515,0.005533924,0.001773084,0.00000909205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00184539,0.00007989608,0.996648,0.00006336602,0.00007429421,0.00001195986,0.00004718317,0.0003898166,0.000840203],"genre_scores_gemma":[0.1622214,0.0003300458,0.8126575,0.0001716721,0.0001132231,0.0001116182,0.0009199612,0.000511242,0.02296348],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01136315,"threshold_uncertainty_score":0.02259403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431261746648674,"score_gpt":0.250638883237761,"score_spread":0.2363262657712743,"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."}}