{"id":"W3116420767","doi":"10.1145/3255092","title":"Session details: Keynote Address","year":2015,"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":"York University","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":[0.001227159,0.0008741799,0.001354131,0.0007870646,0.00250268,0.005006014,0.001154489,0.003195861,0.9264219],"category_scores_gemma":[0.004996212,0.0002988888,0.0008304184,0.0007777265,0.0003020709,0.002196947,0.002266891,0.0034404,0.8528882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193283,"about_ca_system_score_gemma":0.001372207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203403,"about_ca_topic_score_gemma":0.004287823,"domain_scores_codex":[0.9994758,0.00006741965,0.00002366153,0.0001395438,0.0001657506,0.0001278105],"domain_scores_gemma":[0.9974343,0.00047719,0.00007168836,0.0002167997,0.0008308539,0.000969157],"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":[0.00006785415,0.00001569557,0.00002705876,0.00004055773,0.000001876438,0.00001471339,0.000008985627,0.000008575592,0.00008872243,0.0004579356,0.9926848,0.006583082],"study_design_scores_gemma":[0.00004034336,0.00002711903,0.0003261708,0.00006525817,0.000004536542,0.00002765889,0.0000543493,0.00005094302,0.0001311958,0.0006251434,0.9986402,0.000006988569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006655279,0.001386484,0.00122838,0.01716509,0.07349398,0.0006098893,0.01567256,0.002686154,0.887092],"genre_scores_gemma":[0.003682331,0.0006023622,0.0002519624,0.002718242,0.006276271,0.0002055859,0.003168745,0.000710723,0.9823837],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07357806,"threshold_uncertainty_score":0.1049502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211275030720045,"score_gpt":0.2417202781739989,"score_spread":0.1205927751019944,"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."}}