{"id":"W4393405087","doi":"10.1109/msec.2024.3359791","title":"Table of Contents","year":2024,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Table (database); Computer science; Database","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":[0.0007867268,0.001037205,0.001003381,0.005331581,0.001653836,0.004811871,0.001479134,0.001089327,0.886179],"category_scores_gemma":[0.01046597,0.0003470535,0.0005705691,0.003826148,0.0003833619,0.002187679,0.001790709,0.001210784,0.8538318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881345,"about_ca_system_score_gemma":0.003268813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005226781,"about_ca_topic_score_gemma":0.006902802,"domain_scores_codex":[0.9992471,0.00009371465,0.00003752533,0.0001191666,0.0004356135,0.00006698589],"domain_scores_gemma":[0.995015,0.001015116,0.0002038531,0.00049058,0.002606333,0.0006690858],"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":[0.00001196839,0.0000228382,0.0001038057,0.0001177649,0.000002572799,0.0000116831,0.000008415938,0.00008897122,0.00008814736,0.001101007,0.9626886,0.03575419],"study_design_scores_gemma":[0.000006689907,0.00001161571,0.0002830754,0.0001877316,0.000003790684,0.00002484071,0.00002416062,0.00007462016,0.0001065682,0.001410543,0.99786,0.000006282883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004227555,0.002483308,0.003305103,0.003377789,0.007732935,0.0007338131,0.07213213,0.002911666,0.9069005],"genre_scores_gemma":[0.002080053,0.002703546,0.002046997,0.002814916,0.00235912,0.0006203885,0.04894081,0.001456795,0.9369773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.113821,"threshold_uncertainty_score":0.1623518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067241403211527,"score_gpt":0.2354871060733364,"score_spread":0.1848146920412211,"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."}}