{"id":"W2586549315","doi":"10.1109/smc.2016.7844259","title":"John von Neumann's self-replicating machine — Critical components required","year":2016,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Von Neumann architecture; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0001156179,0.0001406635,0.0001426117,0.000041534,0.0000615014,0.00002931679,0.0001934802,0.00005926962,0.0005660324],"category_scores_gemma":[0.00006161002,0.00009391017,0.00004795464,0.00006534116,0.00003159462,0.0001381922,0.00004900402,0.00007827381,0.0005007599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004350657,"about_ca_system_score_gemma":0.000003717311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003083428,"about_ca_topic_score_gemma":0.00000663313,"domain_scores_codex":[0.9990825,0.00001765477,0.0002361614,0.000215317,0.0001492908,0.0002990928],"domain_scores_gemma":[0.9993618,0.0001075704,0.00001203824,0.0003639452,0.00003614359,0.0001185756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002556045,0.000266589,0.00580193,0.0003050435,0.0002085756,0.00007187976,0.0004677409,0.001837696,0.68861,0.09368855,0.0108968,0.1978196],"study_design_scores_gemma":[0.001133949,0.0002181491,0.01096047,0.0004248331,0.00008182798,0.0001396483,0.00004602606,0.5958329,0.2907996,0.005641856,0.09272941,0.001991331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1764978,0.0004040216,0.7722288,0.001826999,0.0008654219,0.0002505501,0.00001500627,0.002375399,0.04553594],"genre_scores_gemma":[0.9927992,0.00007207373,0.00638043,0.0000987537,0.00008186587,0.00001199232,0.000002681053,0.00003367758,0.0005193647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8163013,"threshold_uncertainty_score":0.6436422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144846972409143,"score_gpt":0.2511285406948904,"score_spread":0.229680070970799,"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."}}