{"id":"W4367701204","doi":"10.4230/lipics.icalp.2023.115","title":"Population Protocols with Unordered Data","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Population; Geodetic datum; Computation; Theoretical computer science; Formalism (music); Expressive power; Sequence (biology); Constant (computer programming); Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003002892,0.0002621135,0.0002702775,0.0002771723,0.0001661787,0.0002455884,0.004401557,0.0002010901,0.0000121699],"category_scores_gemma":[0.00002813689,0.000269982,0.00007453619,0.00110698,0.00006843327,0.0009809757,0.00601239,0.0004545544,0.0000661334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005395616,"about_ca_system_score_gemma":0.0001453357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009290258,"about_ca_topic_score_gemma":0.0008912411,"domain_scores_codex":[0.9977291,0.0001112992,0.0001658165,0.001567647,0.0001317978,0.0002943987],"domain_scores_gemma":[0.9951634,0.00006699927,0.0002305699,0.004319747,0.00009451136,0.0001247991],"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":[0.0001491671,0.0002784589,0.05973068,0.0003692929,0.0002301472,0.0006716878,0.0002354186,0.04265772,0.000005317541,0.8902709,0.00368162,0.001719556],"study_design_scores_gemma":[0.001176533,0.0001428656,0.05161705,0.0004269461,0.00009310235,0.000007569095,0.00005874445,0.6667045,0.00001546344,0.2737765,0.004903902,0.001076777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02404133,0.000007880791,0.9689872,0.0001196353,0.0002243325,0.005083398,0.0003339025,0.0008149307,0.0003874514],"genre_scores_gemma":[0.9861158,0.00002988576,0.01205718,0.00004649331,0.00007916852,0.00005234212,0.001455747,0.00002581768,0.0001376056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9620745,"threshold_uncertainty_score":0.9999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2323712200109445,"score_gpt":0.2408645650398591,"score_spread":0.008493345028914634,"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."}}