{"id":"W4296665498","doi":"","title":"IMPROVED ALGORITHMS FOR THE RANGE NEXT VALUE PROBLEM AND APPLICATIONS","year":2008,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bangladesh University of Engineering and Technology; Commonwealth Scholarship Commission; Engineering and Physical Sciences Research Council; McMaster University","keywords":"Computer science; Range (aeronautics); Algorithm; Value (mathematics); Materials science; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001319016,0.00007862842,0.00007450413,0.0000204598,0.000473065,0.0001021454,0.0005158668,0.0000300058,0.000005719104],"category_scores_gemma":[0.000005194573,0.00004516029,0.00003012416,0.0001248752,0.00005296128,0.0003947258,0.0002500796,0.00005296744,0.000006307796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005470755,"about_ca_system_score_gemma":0.00003035841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008302408,"about_ca_topic_score_gemma":0.000002206669,"domain_scores_codex":[0.9993705,0.00001081209,0.0001127218,0.0002592798,0.00009326234,0.0001534079],"domain_scores_gemma":[0.9992472,0.0001487986,0.00003709647,0.0004595592,0.00005238679,0.0000549564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005018238,0.00007264541,0.00005425182,0.00001622832,0.00001850883,9.756776e-7,0.0003615728,0.00003311224,0.000661998,0.1503252,0.01083286,0.8376176],"study_design_scores_gemma":[0.0003994819,0.00004842222,0.0004596779,0.000003077981,0.000005146678,0.00003474674,0.00002216924,0.8664424,0.0002422825,0.005469207,0.1267602,0.0001131982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003958171,0.0004561521,0.9966446,0.001057414,0.00005813991,0.0007672847,0.000007494918,0.0001026368,0.0008666933],"genre_scores_gemma":[0.009625872,0.0003343051,0.9866639,0.0007449788,0.0002568479,0.0008715393,0.000008151964,0.00001034178,0.001484008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8664093,"threshold_uncertainty_score":0.3638481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342351237147538,"score_gpt":0.2603761640192419,"score_spread":0.2261410403044881,"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."}}