{"id":"W3208295482","doi":"10.1145/3232172","title":"Session details: Proceedings of the 2017 GreenMetrics Workshop","year":2017,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Session (web analytics); Computer science; 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":[0.01971994,0.001741781,0.001600155,0.00334883,0.002468881,0.007522662,0.002601386,0.002508719,0.3577769],"category_scores_gemma":[0.01539422,0.000491119,0.001527358,0.003028366,0.0008466242,0.005552726,0.005197372,0.003552681,0.2240198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002663735,"about_ca_system_score_gemma":0.007356213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556735,"about_ca_topic_score_gemma":0.01163262,"domain_scores_codex":[0.9943771,0.001435044,0.0001995722,0.0005426155,0.002831273,0.0006143516],"domain_scores_gemma":[0.9791909,0.002667776,0.0006843331,0.001361724,0.01026375,0.005831455],"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":[0.00006851199,0.00003666637,0.00007722422,0.00008976142,0.000007296859,0.000008312034,0.00001919907,0.00004180616,0.0001410778,0.0005771614,0.9824661,0.01646685],"study_design_scores_gemma":[0.00003767066,0.00006396059,0.00077559,0.0002125896,0.00001114041,0.00002053254,0.0001304297,0.0002704551,0.0003519604,0.001696109,0.9964085,0.00002104442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007693929,0.03393062,0.03199003,0.1747521,0.3090765,0.003025089,0.03197897,0.007589556,0.3999633],"genre_scores_gemma":[0.02368074,0.01845639,0.01244747,0.0118112,0.05899862,0.001719317,0.02640797,0.004288968,0.8421894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3577769,"threshold_uncertainty_score":0.9160533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101900964539966,"score_gpt":0.3444422032525938,"score_spread":0.2342521067985972,"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."}}