{"id":"W4391508133","doi":"10.1007/978-981-99-9785-5_28","title":"Practical and Privacy-Preserving Decision Tree Evaluation with One Round Communication","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"","keywords":"Computer science; Decision tree; Tree (set theory); Computer security; Theoretical computer science; Data mining; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.008013506,0.001187469,0.002463479,0.001080521,0.001702666,0.004283876,0.003686003,0.002455317,0.008272146],"category_scores_gemma":[0.02655641,0.0008653414,0.001843797,0.002066963,0.001985846,0.006271127,0.005288717,0.004563734,0.002778309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271686,"about_ca_system_score_gemma":0.004769273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235657,"about_ca_topic_score_gemma":0.001700385,"domain_scores_codex":[0.9828681,0.007662055,0.0008792639,0.001760397,0.005190792,0.001639428],"domain_scores_gemma":[0.9746433,0.01543964,0.0007181228,0.006547727,0.001960857,0.0006903169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003081265,0.0006420245,0.001587039,0.0004477649,0.000240365,0.0004032104,0.0004381769,0.1602532,0.01164764,0.3369091,0.02244413,0.4619061],"study_design_scores_gemma":[0.0001505932,0.000249886,0.0002698241,0.00003879796,0.00006632893,0.0003524926,0.0000753283,0.6928658,0.007672382,0.2941509,0.004066641,0.00004090938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0162556,0.0003264064,0.9744133,0.0007742954,0.0001126531,0.0002464766,0.0002770531,0.001216677,0.006377587],"genre_scores_gemma":[0.4374493,0.0003376922,0.5471663,0.0004630996,0.0002392433,0.0004879202,0.0007991256,0.0004004908,0.01265684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008272146,"threshold_uncertainty_score":0.04237998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06466194245914729,"score_gpt":0.3294929778395091,"score_spread":0.2648310353803618,"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."}}