{"id":"W2997214811","doi":"10.1145/3336191.3371809","title":"TSA","year":2020,"lang":"en","type":"article","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Common value auction; Exploit; Interconnectivity; Revenue; Social media; Budget constraint; Social network (sociolinguistics); Online advertising; Payment; Constraint (computer-aided design); Mechanism (biology); Advertising; Microeconomics; Business; Computer security; World Wide Web; Artificial intelligence; Economics; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004436222,0.00004998856,0.00005396367,0.0000260059,0.00004328747,0.0001054581,0.0000846483,0.00001311206,0.004434605],"category_scores_gemma":[0.00003013129,0.00004312155,0.00002993054,0.0001865742,0.00000736869,0.0003129415,0.00007890444,0.00004193774,0.001579215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001302865,"about_ca_system_score_gemma":0.000002745958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001342631,"about_ca_topic_score_gemma":0.00001328558,"domain_scores_codex":[0.9996761,0.000001082428,0.00006707205,0.00009775288,0.0000677868,0.00009020217],"domain_scores_gemma":[0.9998867,0.000008625994,0.00001962296,0.00005683552,0.00002158123,0.000006655662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004770672,0.00003715293,0.5910425,0.0001371733,0.00001671476,0.00003408377,0.00008876364,0.000004578472,0.004135214,0.03760049,0.1347698,0.2320859],"study_design_scores_gemma":[0.0002430292,0.000002035117,0.05751558,0.000003686938,0.00003175502,3.726219e-7,0.00008930889,0.002069608,0.0001033054,0.0002054387,0.939581,0.0001549013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2790179,0.00003258519,0.0007916818,0.009422666,0.0001738966,0.00008124128,2.070179e-7,0.0003528685,0.7101269],"genre_scores_gemma":[0.9849154,8.302174e-7,0.00008309829,0.01410128,0.0004868791,0.000001718181,0.000002453006,0.000006951125,0.0004013487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8048112,"threshold_uncertainty_score":0.9991982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737550155815215,"score_gpt":0.2266691816088063,"score_spread":0.1892936800506542,"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."}}