{"id":"W4288284689","doi":"10.48550/arxiv.1907.05259","title":"Searching for Extraterrestrial Intelligence by Locating Potential ET Communication Networks in Space","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Secretário de Ciência, Tecnologia e Ensino Superior, Governo do Estado de Parana; Universities Space Research Association; York University; National Aeronautics and Space Administration","keywords":"Search for extraterrestrial intelligence; Exoplanet; Extraterrestrial life; Solar System; Computer science; Telecommunications network; Planet; NASA Deep Space Network; Astrobiology; Spacecraft; Physics; Astronomy; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004912766,0.0005921986,0.0002509515,0.006642626,0.00118124,0.002559486,0.0007505564,0.0007829563,0.003957707],"category_scores_gemma":[0.002750818,0.0002333369,0.0004568543,0.005858511,0.0006002386,0.004605207,0.002237427,0.0005561832,0.001182151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007273264,"about_ca_system_score_gemma":0.0006376773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003871362,"about_ca_topic_score_gemma":0.006775191,"domain_scores_codex":[0.9995414,0.0000967985,0.00002459673,0.0001193265,0.0001471736,0.00007079513],"domain_scores_gemma":[0.9985561,0.000528788,0.0004268393,0.0001193465,0.0002153555,0.0001535726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005924386,0.0001950576,0.3746724,0.001514262,0.0002813435,0.003094348,0.01131675,0.03955974,0.01473372,0.102799,0.02433531,0.4269057],"study_design_scores_gemma":[0.00008040109,0.00047652,0.2802849,0.001071266,0.0005086194,0.006539719,0.04101482,0.2253895,0.0208056,0.1692047,0.2543772,0.0002467459],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6848712,0.005014027,0.1999564,0.002642628,0.0001702971,0.0003905094,0.005106928,0.001210749,0.1006373],"genre_scores_gemma":[0.8875551,0.002689215,0.1001796,0.000150665,0.00007907533,0.0001676198,0.003286252,0.00008528339,0.005807154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006642626,"threshold_uncertainty_score":0.01323986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.071746532400089,"score_gpt":0.2396955439809775,"score_spread":0.1679490115808885,"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."}}