{"id":"W2336468187","doi":"10.1080/01691864.2016.1174370","title":"Special issue on machine learning and data engineering in robotics","year":2016,"lang":"en","type":"article","venue":"Advanced Robotics","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Robotics; Computer science; Constructive; Robot; Machine learning; Cognitive robotics; Field (mathematics); Data science; Mathematics","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":[0.00009003631,0.00009399196,0.0001001989,0.00007241366,0.00005863279,0.00003014476,0.0004182654,0.00003900697,0.000006884063],"category_scores_gemma":[0.00006731649,0.0000753506,0.00001070027,0.0001976361,0.00001819435,0.0002788649,0.0003229202,0.000132401,0.00002116588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003125534,"about_ca_system_score_gemma":0.000008574175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002704243,"about_ca_topic_score_gemma":0.000008896135,"domain_scores_codex":[0.9992834,0.00001142574,0.0001430518,0.0003126357,0.00008828853,0.0001612089],"domain_scores_gemma":[0.9993217,0.0001006107,0.0000448447,0.0004671155,0.00001672388,0.00004897945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006336435,0.00005425637,0.00111343,0.00001063003,0.000005768692,0.00001037724,0.00004507694,0.2292777,0.001475553,0.08468715,0.000368345,0.6829454],"study_design_scores_gemma":[0.0007999182,0.0002562699,0.001647532,0.0001130896,0.000005753567,0.00002101942,0.000007539953,0.6800495,0.002791277,0.002155144,0.311723,0.0004299897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002139937,0.0000348349,0.9971521,0.001543029,0.0001428575,0.00009712376,0.000002569516,0.0001794945,0.000633973],"genre_scores_gemma":[0.1129284,0.0007320361,0.8834455,0.0001409627,0.001177276,0.00001254454,0.000007053312,0.00002702746,0.001529186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6825154,"threshold_uncertainty_score":0.3072708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483430980469673,"score_gpt":0.2694271376712488,"score_spread":0.254592827866552,"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."}}