{"id":"W4408437017","doi":"10.2139/ssrn.5179104","title":"3d Printed Motors as a Breakthrough Toward Universal Constructors and Self-Replicating Machines","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Carleton University","funders":"","keywords":"3d printed; Computer science; Engineering; Manufacturing engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000268845,0.0004034679,0.0004784201,0.0003731243,0.00022356,0.001440644,0.0007916696,0.001177133,0.00485072],"category_scores_gemma":[0.0007135791,0.0003297818,0.0004434407,0.0003898156,0.00107941,0.001110691,0.0009813565,0.001480006,0.001393058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004420861,"about_ca_system_score_gemma":0.0002194749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009484008,"about_ca_topic_score_gemma":0.00012393,"domain_scores_codex":[0.9996831,0.00005386234,0.00001317649,0.00005406753,0.0001721001,0.00002368344],"domain_scores_gemma":[0.9996616,0.0001176679,0.00004871616,0.0001013753,0.00004244134,0.00002818916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001681218,0.00007907885,0.0002971778,0.0005200516,0.00005583832,0.0003073534,0.0002658403,0.05941883,0.2645806,0.4967449,0.006777075,0.1707852],"study_design_scores_gemma":[0.0001087864,0.0004296563,0.0008412719,0.0001605961,0.00005665817,0.0008314708,0.00009426639,0.3128938,0.2796558,0.2427127,0.1620968,0.0001182584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08709092,0.006696254,0.826848,0.00224419,0.001791347,0.00006393756,0.0002384507,0.00333382,0.07169306],"genre_scores_gemma":[0.7238112,0.003757298,0.2395054,0.0004511003,0.0004280555,0.0001129464,0.0002015065,0.0003995483,0.03133288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00485072,"threshold_uncertainty_score":0.01622725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006281810013182837,"score_gpt":0.231671262369042,"score_spread":0.2253894523558592,"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."}}