{"id":"W3193950766","doi":"","title":"FleXOR: Flexible garbling for XOR gates that beats free-XOR.","year":2014,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Bell (Canada)","funders":"","keywords":"XOR gate; Computer science; Bitwise operation; Cryptography; Exclusive or; Key (lock); Hash function; Government (linguistics); Theoretical computer science; Algorithm; Logic gate; Computer security; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001125748,0.0009269078,0.001301855,0.0007655314,0.0005116498,0.0004584309,0.006079034,0.0007248319,0.00007294596],"category_scores_gemma":[0.000486428,0.00093182,0.0009355303,0.000281734,0.0006596479,0.00034643,0.009713812,0.001696559,0.0001496506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007190558,"about_ca_system_score_gemma":0.0003272357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121151,"about_ca_topic_score_gemma":0.0002536771,"domain_scores_codex":[0.9942757,0.0004683956,0.000873079,0.002516759,0.0004894959,0.00137655],"domain_scores_gemma":[0.9923508,0.001895316,0.0006995142,0.004417984,0.0002071943,0.0004292139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001098872,0.0001869512,0.002223668,0.0003201723,0.0002583299,0.00002726509,0.00157868,0.0005233365,0.0003336338,0.9797043,0.008162038,0.006571718],"study_design_scores_gemma":[0.0009581145,0.0001727075,0.002432464,0.0001992169,0.00007902519,0.00005421085,0.00005390591,0.0190585,0.004079117,0.9405769,0.03138719,0.000948676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009266253,0.0005751886,0.9771486,0.00325448,0.002992434,0.001498874,0.0006987979,0.0009234773,0.003641931],"genre_scores_gemma":[0.06177904,0.0002737856,0.9350318,0.0009522144,0.000609586,0.0006967729,0.0005809827,0.00007300184,0.000002844157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05251279,"threshold_uncertainty_score":0.9993132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717708644604003,"score_gpt":0.2869611467285073,"score_spread":0.2497840602824673,"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."}}