{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001074442,0.001798044,0.002516597,0.0006819402,0.001469496,0.004490037,0.001688779,0.00229538,0.8830035],"category_scores_gemma":[0.002124286,0.0004319665,0.001618473,0.00155661,0.0003471948,0.001666113,0.002087462,0.00246596,0.7286033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218974,"about_ca_system_score_gemma":0.001809551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816552,"about_ca_topic_score_gemma":0.003793491,"domain_scores_codex":[0.9994059,0.00009665597,0.00002296799,0.0001584932,0.0001814375,0.0001346113],"domain_scores_gemma":[0.9989418,0.0002022966,0.00002755084,0.0002220461,0.0001864806,0.000419812],"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":[0.0002027489,0.0001191064,0.00005199347,0.0001766498,0.00002153675,0.00001586198,0.000006980194,0.0004700368,0.0008885852,0.001669994,0.957838,0.0385386],"study_design_scores_gemma":[0.000166905,0.0001521717,0.0006374618,0.00007530256,0.00003185582,0.00003700654,0.00002404277,0.002079515,0.001051384,0.003039405,0.992683,0.00002205468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001938132,0.005728833,0.01771507,0.01168839,0.02481852,0.001150155,0.03495052,0.008931617,0.8930788],"genre_scores_gemma":[0.01079563,0.002388963,0.003648087,0.001231318,0.003613801,0.0003025641,0.009003387,0.002714555,0.9663018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8830035,"threshold_uncertainty_score":0.1668813,"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."}}