{"id":"W3137045795","doi":"10.1145/3252518","title":"Session details: Topic and sentiment","year":2009,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Session (web analytics); Computer science; Sentiment analysis; Information retrieval; World Wide Web; Multimedia; Artificial intelligence","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":[0.0008916045,0.000917943,0.001842336,0.0007157752,0.001831414,0.004219511,0.0005759106,0.002301475,0.7590795],"category_scores_gemma":[0.003281869,0.0002163864,0.00112511,0.001323494,0.0002408598,0.001734807,0.001544379,0.001971964,0.3720396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007082154,"about_ca_system_score_gemma":0.0007774475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336146,"about_ca_topic_score_gemma":0.003742397,"domain_scores_codex":[0.9997149,0.00005801221,0.00001549093,0.00007340903,0.00007565114,0.0000624545],"domain_scores_gemma":[0.9979881,0.0006849628,0.00007704538,0.0001669765,0.0003016647,0.0007812136],"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":[0.0005291625,0.0001169686,0.0006090839,0.0002578236,0.00002271028,0.00005844073,0.00005507776,0.00003362398,0.0006574641,0.0009566143,0.972447,0.024256],"study_design_scores_gemma":[0.0003625177,0.0003633505,0.01746997,0.0003292049,0.0001069917,0.0002209653,0.0003662005,0.0005609566,0.0009270387,0.005350588,0.9739018,0.00004040328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01569174,0.00816612,0.002777943,0.04070559,0.04989866,0.001206164,0.08120632,0.001695253,0.7986522],"genre_scores_gemma":[0.05375165,0.004335497,0.0008016998,0.003444509,0.01390615,0.0006988923,0.0158494,0.0007852546,0.906427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2409205,"threshold_uncertainty_score":0.3436439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326214311254658,"score_gpt":0.249521398926202,"score_spread":0.2362592558136554,"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."}}