{"id":"W4291955240","doi":"10.36227/techrxiv.19776217.v1","title":"Internet of Spacecraft for Multi-planetary Defense and Prosperity","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Prosperity; Spacecraft; NASA Deep Space Network; Space (punctuation); Aerospace; Human spaceflight; The Internet; Emerging technologies; Event (particle physics); Engineering; Telecommunications; Business; Political science; Computer science; Aerospace engineering; Law; Physics; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002888511,0.0001555216,0.0002710655,0.00004274403,0.00004045011,0.00004388102,0.0001917093,0.00004932187,0.001528317],"category_scores_gemma":[0.000006738292,0.0001346754,0.0001050555,0.00003393439,0.00006981665,0.00004152591,0.0004168405,0.0002047467,0.000002531296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075528,"about_ca_system_score_gemma":0.0001190649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003477974,"about_ca_topic_score_gemma":0.00007108101,"domain_scores_codex":[0.9991222,0.00003065701,0.0001930335,0.0003497012,0.0001358555,0.0001685539],"domain_scores_gemma":[0.9995095,0.00003133824,0.000131747,0.0002266613,0.00003519983,0.00006555598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002864563,0.0004809615,0.9454174,0.0003151504,0.0003515766,0.000002000568,0.001830599,0.0007543377,0.0006272884,0.0198501,0.01685861,0.0132255],"study_design_scores_gemma":[0.01715053,0.001936676,0.1468717,0.0005997057,0.00151079,0.000008752563,0.01786283,0.5624583,0.02519557,0.0696553,0.1511838,0.005566102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752965,0.0001941388,0.01037469,0.0002776141,0.001112113,0.001965776,0.0007220067,0.00003145367,0.01002571],"genre_scores_gemma":[0.9898031,0.000003368555,0.007542199,0.00002391985,0.000154543,0.0001677723,0.0003532278,0.00001038216,0.001941426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7985457,"threshold_uncertainty_score":0.9993844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632672845683947,"score_gpt":0.3039875384142673,"score_spread":0.2407202538458726,"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."}}