{"id":"W2952022790","doi":"10.48550/arxiv.1810.08395","title":"NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Humanoid robot; Robot; Open source; Computer science; Robotics; Artificial intelligence; Software; Open source software; Class (philosophy); Computation; Human–computer interaction; Robot control; Simulation; Mobile robot; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003436722,0.001042314,0.0004910912,0.0004193272,0.0002562677,0.0003885579,0.00174669,0.0007343178,0.0294428],"category_scores_gemma":[0.0009339974,0.0004147627,0.0004956897,0.0002265261,0.0003352175,0.0005739485,0.00138865,0.0006846106,0.007772173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153317,"about_ca_system_score_gemma":0.0006899547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670954,"about_ca_topic_score_gemma":0.004594313,"domain_scores_codex":[0.999772,0.00001638345,0.00001066293,0.00005185571,0.0001207032,0.00002840765],"domain_scores_gemma":[0.9997429,0.00004853607,0.00001645683,0.00006713286,0.00005919293,0.00006575132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001389597,0.0004917243,0.002460953,0.001574731,0.0001405998,0.001159817,0.0005957891,0.04200032,0.1902957,0.00735847,0.1873795,0.5651529],"study_design_scores_gemma":[0.000704593,0.002002449,0.0104916,0.0002446404,0.00009404972,0.001870568,0.0001654043,0.3557941,0.1140642,0.004932981,0.5094315,0.0002040624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09080561,0.000855636,0.6173437,0.0004547201,0.0007859032,0.001783437,0.008971895,0.1924926,0.08650647],"genre_scores_gemma":[0.4047586,0.0004407463,0.4772812,0.0003948399,0.00006077635,0.002288385,0.01756666,0.01316499,0.08404389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0294428,"threshold_uncertainty_score":0.09849596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093842029607289,"score_gpt":0.1800888594648899,"score_spread":0.139150439168817,"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."}}