{"id":"W4323525748","doi":"10.1007/978-3-031-25555-7","title":"Robotics Research","year":2023,"lang":"en","type":"book","venue":"Springer proceedings in advanced robotics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Waterloo; University of Toronto; Eidgenössische Technische Hochschule Zürich; Carnegie Mellon University; Albert-Ludwigs-Universität Freiburg; Istituto Italiano di Tecnologia; Università degli Studi di Napoli Federico II; Imperial College London; Deutsches Zentrum für Luft- und Raumfahrt; Seoul National University; National Institute of Advanced Industrial Science and Technology; Northwestern University; Kungliga Tekniska Högskolan; University of Pennsylvania; University of Leeds; University of Southern California","keywords":"Artificial intelligence; Robotics; Computer science; Robot","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008569602,0.0005764277,0.0006792936,0.001365287,0.0001645912,0.0001759175,0.0006256673,0.0007345278,0.00003948151],"category_scores_gemma":[0.0003418951,0.0006952281,0.0001337489,0.0009848297,0.0001308832,0.0002856492,0.0002944145,0.003539007,0.001026418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170194,"about_ca_system_score_gemma":0.0001276655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001425531,"about_ca_topic_score_gemma":0.00001527286,"domain_scores_codex":[0.9964858,0.00001435848,0.000773271,0.0006817433,0.0009246556,0.001120135],"domain_scores_gemma":[0.9987599,0.0002161543,0.0001253522,0.0003338495,0.0003716135,0.0001931482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006606804,0.00001197886,0.0001713615,0.0007567659,0.0000336626,0.00003123547,0.0002832481,0.9553517,0.0001316607,0.03086335,0.01054658,0.001811882],"study_design_scores_gemma":[0.001709422,0.000202117,0.001533919,0.006084318,0.00009197846,0.00003075659,0.0005860257,0.6747571,0.0002035814,0.05980022,0.2512662,0.00373439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001414293,0.001390545,0.01169396,0.0003132096,0.00389829,0.001411509,0.000002963385,0.003616219,0.9775319],"genre_scores_gemma":[0.005405623,0.001754335,0.03960562,0.00004054068,0.001201763,0.00009169625,0.00005855101,0.0009772417,0.9508646],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2805946,"threshold_uncertainty_score":0.9997514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06256452934891583,"score_gpt":0.3132031549710423,"score_spread":0.2506386256221265,"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."}}