{"id":"W3084005167","doi":"10.1145/3244459","title":"Session details: Onward!","year":2005,"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 Victoria","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":[0.0007653856,0.0009865448,0.001551753,0.0006921497,0.002616923,0.004241468,0.001481477,0.003642446,0.9433375],"category_scores_gemma":[0.002904255,0.0004238165,0.001143854,0.0006554374,0.0003658004,0.002136381,0.002430176,0.003103278,0.9047396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007536684,"about_ca_system_score_gemma":0.0008154736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002854772,"about_ca_topic_score_gemma":0.00737425,"domain_scores_codex":[0.9995996,0.00005184815,0.00001406481,0.00008516288,0.0001165194,0.0001327411],"domain_scores_gemma":[0.998154,0.0002699666,0.00003985237,0.0001818703,0.0005175552,0.0008366434],"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":[0.000217219,0.00005673305,0.00005435725,0.00007308864,0.000002944208,0.00002683355,0.00002226999,0.00001329119,0.000230997,0.0003850799,0.9826481,0.01626918],"study_design_scores_gemma":[0.0000719375,0.00005009161,0.0006711922,0.00007756054,0.000005881873,0.00003021811,0.00007909686,0.00006310001,0.0002635908,0.0004485931,0.9982269,0.00001184029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001308741,0.0007043069,0.001091862,0.006521749,0.01660453,0.0006802257,0.01142313,0.005633577,0.9560319],"genre_scores_gemma":[0.003044674,0.0002653341,0.0002028939,0.001155623,0.001028373,0.0001491291,0.002022393,0.0006784768,0.9914531],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0566625,"threshold_uncertainty_score":0.08082217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803619066785644,"score_gpt":0.2132072279589316,"score_spread":0.1651710372910752,"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."}}