{"id":"W4255874599","doi":"10.1145/3262847","title":"Session details: Runtime optimization and profiling","year":2006,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Profiling (computer programming); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001475657,0.002401409,0.003067114,0.00076912,0.001646248,0.004095409,0.002200472,0.002007096,0.7179961],"category_scores_gemma":[0.004152928,0.0006952335,0.001534714,0.002030615,0.0003181287,0.002602099,0.002873911,0.002108934,0.5909374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007826781,"about_ca_system_score_gemma":0.001525825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001968189,"about_ca_topic_score_gemma":0.003595377,"domain_scores_codex":[0.9988126,0.0002119456,0.00005878247,0.0002539974,0.0003580164,0.0003046841],"domain_scores_gemma":[0.9976069,0.0004823172,0.00005353224,0.0009680756,0.0003355514,0.0005535543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00112498,0.0002783414,0.0003381155,0.0002459995,0.0000317826,0.00005370405,0.00004603383,0.0009983142,0.00860024,0.002571153,0.8433539,0.1423574],"study_design_scores_gemma":[0.00051753,0.0003095856,0.00240249,0.0000810307,0.00007947449,0.0002182361,0.00007300261,0.02078719,0.01994912,0.006130602,0.949342,0.0001098413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009677636,0.002517416,0.1676419,0.007826295,0.01178481,0.002737115,0.06706472,0.2007274,0.5300226],"genre_scores_gemma":[0.05849962,0.002018947,0.04356497,0.001181855,0.002811094,0.001012032,0.05191626,0.02749561,0.8114995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7179961,"threshold_uncertainty_score":0.4022443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143290584619703,"score_gpt":0.2359297262563504,"score_spread":0.2216006677943801,"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."}}