{"id":"W2912457451","doi":"10.1145/3256841","title":"Session details: Keynote address","year":2008,"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 Waterloo","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":[0.0009039165,0.0008973928,0.001406933,0.0007405582,0.002376423,0.004144891,0.001044285,0.003070326,0.921666],"category_scores_gemma":[0.003317762,0.0002751634,0.0008152525,0.0007600283,0.0002533768,0.001799833,0.001804051,0.00297062,0.8348168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009913628,"about_ca_system_score_gemma":0.0009880287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894311,"about_ca_topic_score_gemma":0.003718996,"domain_scores_codex":[0.999621,0.00004452676,0.00001690587,0.0001019003,0.000116215,0.00009943515],"domain_scores_gemma":[0.9982864,0.0003577036,0.00004756205,0.0001406009,0.0005445208,0.0006231196],"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":[0.0001078218,0.0000251872,0.00004108408,0.0000521879,0.000002497253,0.00002160818,0.00001198387,0.00001132661,0.0001548886,0.0005535552,0.9900854,0.008932518],"study_design_scores_gemma":[0.00005253496,0.00003884521,0.0005088967,0.00006767382,0.000006742577,0.00003782739,0.00006644684,0.00007167412,0.0002081152,0.000666974,0.9982658,0.000008555959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008651169,0.001371923,0.001143215,0.01264573,0.05257929,0.0005587685,0.01260909,0.002307839,0.915919],"genre_scores_gemma":[0.003997739,0.0005877845,0.0002045374,0.001786286,0.00422668,0.000161828,0.00243886,0.000509235,0.986087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07833403,"threshold_uncertainty_score":0.111734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08442657900069868,"score_gpt":0.2197116482569843,"score_spread":0.1352850692562856,"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."}}