{"id":"W4404569470","doi":"10.48550/arxiv.2411.10173","title":"Semantics and Spatiality of Emergent Communication","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Open Philanthropy Project; Center for Evolutionary and Theoretical Immunology","keywords":"Semantics (computer science); Computer science; Linguistics; Communication; Programming language; Sociology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001705717,0.0001120424,0.0001382522,0.00009364091,0.00002538844,0.00002034862,0.0001842764,0.0001199238,0.00008483954],"category_scores_gemma":[0.00002016403,0.0001407058,0.00004777585,0.0001457969,0.00004505038,0.00005371594,0.0003000768,0.0003607144,0.00003282009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000509895,"about_ca_system_score_gemma":0.00003812788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001339688,"about_ca_topic_score_gemma":0.00004536011,"domain_scores_codex":[0.9995273,0.00006610261,0.0001259298,0.0001746924,0.00003027462,0.00007567831],"domain_scores_gemma":[0.9992982,0.00007021287,0.00006117444,0.0004631247,0.00005621393,0.00005114087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005447479,0.0002263498,0.005033982,0.005289806,0.0009499448,0.00004016183,0.004232864,0.6417675,0.0007948424,0.3255075,0.01211834,0.003984222],"study_design_scores_gemma":[0.0002924869,0.00002487718,0.005073159,0.0003863361,0.0006996943,0.000004453981,0.0008207264,0.8803301,0.001179727,0.09135977,0.01918682,0.0006418649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538527,0.001464989,0.02305599,0.0002781565,0.001117459,0.0002475179,0.00004103416,0.0002553886,0.01968679],"genre_scores_gemma":[0.9961205,0.002932586,0.000262454,0.000009896138,0.00002172155,3.59805e-7,0.00002147536,0.00001577147,0.0006152062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2385626,"threshold_uncertainty_score":0.5737817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0853632640644222,"score_gpt":0.2024593256533703,"score_spread":0.1170960615889481,"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."}}