{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268531,0.00005024641,0.0000594012,0.00003796347,0.00009029178,0.0001935417,0.000153114,0.00001718118,0.00002555065],"category_scores_gemma":[0.00001009921,0.00003786295,0.00001231261,0.0000713527,0.000006138308,0.0005519121,0.00006377023,0.00003069035,0.0000232525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000687379,"about_ca_system_score_gemma":0.00001158268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.437398e-7,"about_ca_topic_score_gemma":1.08065e-7,"domain_scores_codex":[0.9995542,0.00000687829,0.0001466671,0.00009078921,0.0001070069,0.00009448656],"domain_scores_gemma":[0.9997264,0.00001277221,0.000051952,0.0001406729,0.00002753233,0.00004063197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.737516e-7,0.00003566367,0.0001492782,0.00003841985,0.000002690698,0.000001234952,0.002944328,0.00002162639,0.0001952903,0.308199,0.0018891,0.686523],"study_design_scores_gemma":[0.0002970233,0.00006083481,0.002894365,0.00006569744,0.000002636987,0.00003053846,0.0001151558,0.9133816,0.006761429,0.06843562,0.007756052,0.0001990399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01974029,0.00004860858,0.9243639,0.0008956519,0.00007121047,0.00004131633,1.704093e-8,0.0001221352,0.05471691],"genre_scores_gemma":[0.8252292,0.000007808626,0.1716208,0.001701637,0.00002450932,5.046833e-7,2.497221e-7,0.000001046866,0.001414186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.91336,"threshold_uncertainty_score":0.1866327,"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."}}