{"id":"W4389102019","doi":"10.1109/sensors56945.2023.10325260","title":"Comparing Data Representation Techniques for Tactile Sensing in Classification Tasks","year":2023,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Robustness (evolution); Preprocessor; Artificial intelligence; Raw data; Tactile sensor; Data pre-processing; External Data Representation; Robot; Machine learning; Pattern recognition (psychology)","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":[0.004597554,0.000930036,0.0008065242,0.002471076,0.0003627166,0.001928277,0.0007969581,0.001378126,0.002090267],"category_scores_gemma":[0.02624631,0.0002036715,0.0009242636,0.002725182,0.0004281356,0.002440711,0.001156485,0.001064488,0.0009832071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320648,"about_ca_system_score_gemma":0.0005244031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114615,"about_ca_topic_score_gemma":0.0007719642,"domain_scores_codex":[0.9971686,0.001059628,0.0002982838,0.0003633556,0.000940097,0.000170163],"domain_scores_gemma":[0.9853868,0.0111185,0.0004773116,0.001086017,0.001764318,0.0001670535],"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":[0.001315212,0.0003822906,0.003456458,0.0006476346,0.0001943124,0.00007862155,0.0002169184,0.04031622,0.0168994,0.002934746,0.001991448,0.9315668],"study_design_scores_gemma":[0.0001219539,0.001750038,0.015276,0.0002011249,0.0001783297,0.0004694592,0.0007890027,0.9372796,0.02672749,0.01194382,0.005130684,0.0001325042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2080109,0.004623451,0.7763262,0.001037216,0.0006047853,0.0005367962,0.0005380919,0.001870013,0.006452642],"genre_scores_gemma":[0.6276724,0.001944655,0.3667906,0.0002613387,0.0001939305,0.0004312501,0.0008897826,0.0001424692,0.001673542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004597554,"threshold_uncertainty_score":0.02431452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159233006252504,"score_gpt":0.3627903219951947,"score_spread":0.1468670213699443,"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."}}