{"id":"W3162516743","doi":"10.1145/3257474","title":"Session details: Industrial session 5: transactions, security, and cashing","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Session (web analytics); Computer science; Computer security; 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":[],"category_scores_codex":[0.00166696,0.001478411,0.001780786,0.0006841724,0.002723656,0.005316982,0.001456831,0.004616638,0.8390076],"category_scores_gemma":[0.002431819,0.0004223508,0.001486087,0.001388876,0.0005121834,0.001726857,0.001867384,0.002391581,0.6131744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150915,"about_ca_system_score_gemma":0.001494828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169976,"about_ca_topic_score_gemma":0.002597524,"domain_scores_codex":[0.999364,0.00008586117,0.00003189824,0.000156103,0.0001797795,0.0001824251],"domain_scores_gemma":[0.9974694,0.0005315451,0.00007410752,0.0004132184,0.0005668296,0.0009448943],"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":[0.0007679582,0.0003370267,0.000386626,0.0003082781,0.00002325695,0.00007298619,0.00005723984,0.0001852785,0.002443059,0.003476387,0.9357637,0.05617821],"study_design_scores_gemma":[0.0002160761,0.0003759324,0.0022865,0.0001141206,0.00003584841,0.0001289874,0.00009578752,0.0008849794,0.002159365,0.003107413,0.990566,0.00002904566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005372765,0.004476627,0.01091315,0.009265292,0.02004168,0.001586153,0.01178535,0.005210311,0.9313487],"genre_scores_gemma":[0.02955607,0.002747519,0.001785103,0.0008676624,0.004871801,0.0003969563,0.006921459,0.0008339539,0.9520195],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8390076,"threshold_uncertainty_score":0.229636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322351032337355,"score_gpt":0.2609644060384057,"score_spread":0.2377408957150322,"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."}}