{"id":"W2914398717","doi":"10.1145/3252652","title":"Session details: Session 2","year":2016,"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 Calgary","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":["insufficient_payload"],"category_scores_codex":[0.002078675,0.001342115,0.001747051,0.0009181446,0.002745666,0.006378664,0.001653398,0.004558554,0.9132064],"category_scores_gemma":[0.006090613,0.0004448975,0.001514256,0.000747583,0.000333926,0.00271753,0.003091549,0.003910653,0.8199112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147232,"about_ca_system_score_gemma":0.002190095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953392,"about_ca_topic_score_gemma":0.00435902,"domain_scores_codex":[0.9991452,0.000138383,0.00004291052,0.0002307601,0.000245496,0.0001972885],"domain_scores_gemma":[0.9958059,0.000487264,0.0001184187,0.000349898,0.001434234,0.001804265],"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":[0.0001553819,0.00003408802,0.00004495381,0.0001081689,0.000005156893,0.0000187895,0.00001346,0.00002149002,0.0001939694,0.0004279788,0.9870172,0.01195934],"study_design_scores_gemma":[0.00006068509,0.00004573535,0.0003211904,0.00009406525,0.000006955016,0.00003371934,0.00003776873,0.0000564669,0.0001671412,0.0006856395,0.9984807,0.00001011132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00142563,0.003247676,0.003669743,0.01951687,0.1044209,0.002172243,0.02970546,0.006630072,0.8292114],"genre_scores_gemma":[0.005324274,0.001185765,0.000804128,0.004395407,0.009119949,0.0007690453,0.007503898,0.001569545,0.969328],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0867936,"threshold_uncertainty_score":0.1238005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866242744174022,"score_gpt":0.2169418671645504,"score_spread":0.1682794397228102,"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."}}