{"id":"W3137040882","doi":"10.1145/3254684","title":"Session details: Session 2","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Multimedia; 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":["insufficient_payload"],"category_scores_codex":[0.00207164,0.001350323,0.00174609,0.0009159357,0.002750951,0.006322631,0.001649253,0.0044946,0.9119777],"category_scores_gemma":[0.005976864,0.0004453388,0.00151521,0.0007397872,0.0003300262,0.002681809,0.003084751,0.003933196,0.814884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146235,"about_ca_system_score_gemma":0.002149521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001951399,"about_ca_topic_score_gemma":0.004346971,"domain_scores_codex":[0.9991547,0.0001370478,0.00004165262,0.0002279714,0.0002438198,0.0001948327],"domain_scores_gemma":[0.9958934,0.0004819719,0.0001147889,0.0003400169,0.001412635,0.001757144],"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":[0.0001580722,0.00003409128,0.0000445365,0.0001070869,0.000005155115,0.00001895209,0.00001383157,0.00002179856,0.0001999173,0.0004330287,0.9870797,0.01188384],"study_design_scores_gemma":[0.00006071695,0.00004640867,0.0003196111,0.00009262655,0.000007026836,0.00003403568,0.00003858249,0.00005658455,0.0001700914,0.0006886455,0.9984755,0.00001023524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001453891,0.003214601,0.003765425,0.01913583,0.1026177,0.002163815,0.02919359,0.006795231,0.8316599],"genre_scores_gemma":[0.005386986,0.001170058,0.000811096,0.00433637,0.008889756,0.000772453,0.007496388,0.001556917,0.9695799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08802229,"threshold_uncertainty_score":0.1255531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004598280000136,"score_gpt":0.2122666487424212,"score_spread":0.1722206659424198,"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."}}