{"id":"W4245755273","doi":"10.1145/3263322","title":"Session details: Optimization","year":2012,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Session (web analytics); Programming language; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003214248,0.0001132769,0.0001075045,0.00009850514,0.0001546754,0.00009643467,0.0009386323,0.00006810044,0.00003230665],"category_scores_gemma":[0.0002052365,0.00009832592,0.00003152954,0.000272589,0.00001835106,0.00107712,0.0003241438,0.00008458179,0.00007176923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001908013,"about_ca_system_score_gemma":0.00001922466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000100686,"about_ca_topic_score_gemma":6.414917e-7,"domain_scores_codex":[0.9990751,0.00008157604,0.000171584,0.0001954103,0.0001918911,0.0002844797],"domain_scores_gemma":[0.998944,0.0001769023,0.0001172636,0.0005968797,0.00005766397,0.000107256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001956692,0.0004395451,0.04435932,0.00007152065,0.0000522159,0.000009639742,0.003821115,0.8187848,0.0005323477,0.02727581,0.03047385,0.07416031],"study_design_scores_gemma":[0.0002160921,0.00005796754,0.002948958,0.00004287671,0.00001165132,0.00001277677,0.00003173569,0.9838862,0.004973164,0.0006502284,0.006811809,0.0003564991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003647173,0.0004082692,0.989961,0.0004454647,0.0003655441,0.0000854098,6.515414e-7,0.0007641637,0.004322337],"genre_scores_gemma":[0.4874313,0.00002681932,0.5120837,0.0002526276,0.00009543628,0.000004246919,0.000006421633,0.000005836586,0.0000936337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4837841,"threshold_uncertainty_score":0.4009615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857619058944603,"score_gpt":0.2813796688651313,"score_spread":0.2528034782756852,"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."}}