{"id":"W4377966882","doi":"10.1109/access.2023.3279395","title":"Composable Anonymous Proof-of-Location With User-Controlled Offline Access","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automated theorem proving; Computer science; Overhead (engineering); Notation; Algorithm; Discrete mathematics; Mathematics; Information retrieval; Programming language; Arithmetic","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":[],"consensus_categories":[],"category_scores_codex":[0.0003922341,0.0001762828,0.0003617027,0.0003201565,0.0001366282,0.0005225887,0.002578042,0.00006323883,0.00001652687],"category_scores_gemma":[0.00002875144,0.0001327303,0.0000725142,0.002970708,0.00007386001,0.002703761,0.000389913,0.0001259183,0.00001834381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001415749,"about_ca_system_score_gemma":0.0001338825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569552,"about_ca_topic_score_gemma":0.0001696988,"domain_scores_codex":[0.9984373,0.00006944126,0.0003371561,0.0004366942,0.0004006315,0.0003187384],"domain_scores_gemma":[0.9983922,0.0001762453,0.000227544,0.0008357509,0.0002792882,0.00008898439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01022009,0.006159152,0.267518,0.003164385,0.001765015,0.0006070942,0.005863018,0.1323681,0.01105735,0.2724944,0.1487201,0.1400633],"study_design_scores_gemma":[0.0260701,0.001210215,0.1222189,0.0005760003,0.0002191992,0.00006256834,0.00009432586,0.5260767,0.2632918,0.04487748,0.01303045,0.002272226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3909875,0.00008962447,0.6054774,0.0005616244,0.0005479375,0.0008111895,0.00002732694,0.0004116613,0.001085679],"genre_scores_gemma":[0.9967123,0.00001614335,0.002850038,0.0001571029,0.00008844394,0.00009302527,0.00003799325,0.00001214185,0.00003278665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6057248,"threshold_uncertainty_score":0.5412583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354479945893045,"score_gpt":0.3143394797674359,"score_spread":0.2807946803085054,"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."}}