{"id":"W3136176769","doi":"10.5555/2872518.3251208","title":"Session details: Demonstrations","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Session (web analytics); World Wide Web; Computer science; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002462331,0.001326219,0.000848738,0.0006200449,0.00209402,0.002971275,0.002441951,0.002439868,0.4785861],"category_scores_gemma":[0.004972764,0.0004618382,0.001011506,0.0007093448,0.0004334943,0.002833365,0.003620631,0.002706269,0.2104445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035345,"about_ca_system_score_gemma":0.00162999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004960354,"about_ca_topic_score_gemma":0.006315196,"domain_scores_codex":[0.9988978,0.0002491683,0.00005406098,0.0002068195,0.0003656353,0.0002264024],"domain_scores_gemma":[0.9968156,0.0004827799,0.00006710069,0.0005023403,0.0007583253,0.001373723],"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":[0.0008445835,0.001213381,0.0004996053,0.0003621457,0.00002601324,0.0002571706,0.0002173891,0.001920396,0.002352535,0.004952611,0.9135694,0.07378482],"study_design_scores_gemma":[0.0003999833,0.000691972,0.001109412,0.00009508384,0.00002188752,0.0001487425,0.0002380309,0.004472902,0.002419183,0.00576308,0.9845935,0.00004630654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02039535,0.002098403,0.08381986,0.01442554,0.01736944,0.005082271,0.02972742,0.05305261,0.7740292],"genre_scores_gemma":[0.116818,0.001962057,0.06605653,0.003986345,0.001846269,0.005097008,0.03749038,0.007462253,0.7592812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5214139,"threshold_uncertainty_score":0.7437336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646121102750051,"score_gpt":0.2563928536746249,"score_spread":0.2199316426471244,"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."}}