{"id":"W3163138155","doi":"10.1002/adma.202170148","title":"Sensing Robots: New Frontiers in 3D Structural Sensing Robots (Adv. Mater. 19/2021)","year":2021,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Robot; 3D printing; Electronics; Nanotechnology; Materials science; Systems engineering; Human–computer interaction; Robotics; Computer science; Artificial intelligence; Mechanical engineering; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001641415,0.0005125104,0.0009313026,0.0001880615,0.000113681,0.0003244502,0.0001222217,0.0002231976,0.0002103502],"category_scores_gemma":[0.0001641991,0.0005518188,0.00008312312,0.0003298483,0.000046863,0.0004037448,0.00008893436,0.0001361951,0.00005349223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036488,"about_ca_system_score_gemma":0.00008527315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003193069,"about_ca_topic_score_gemma":0.000167696,"domain_scores_codex":[0.9972845,0.0001533553,0.0008378663,0.0005807057,0.0002910927,0.0008525013],"domain_scores_gemma":[0.9989558,0.00005377195,0.0001280814,0.0005347709,0.000105213,0.0002223162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004961359,0.000003782142,0.00006554184,0.000125198,0.00003846002,0.0004832525,0.0002403268,0.1289504,0.8573812,0.00001356386,0.0006178532,0.01203075],"study_design_scores_gemma":[0.001250629,0.00002076694,0.0009606791,0.0003741863,0.00003959334,0.000312215,0.0004053368,0.004912963,0.9883595,0.001254448,0.001310239,0.0007994952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816415,0.0005560973,0.007184879,0.0001720234,0.009464219,0.0002567765,0.00004167159,0.000413307,0.0002695314],"genre_scores_gemma":[0.7337282,0.0003672525,0.2647073,0.0001752997,0.0005223994,0.000001000578,0.0001023656,0.0001586253,0.0002375141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2575224,"threshold_uncertainty_score":0.9996933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007628883663614144,"score_gpt":0.2144208555198154,"score_spread":0.2067919718562012,"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."}}