{"id":"W4313890235","doi":"10.1007/s11432-021-3512-6","title":"Robotic haptic adjective perception based on coupled sparse coding","year":2023,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Adjective; Haptic technology; Computer science; Perception; Haptic perception; Coding (social sciences); Artificial intelligence; Neural coding; Computer vision; Speech recognition; Psychology; Mathematics; Neuroscience; Noun","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":[0.001148287,0.00009767298,0.0000764939,0.0006435296,0.0008724455,0.000453968,0.0004442809,0.0000267325,0.00003230551],"category_scores_gemma":[0.0001397575,0.0000827436,0.00002455655,0.003469642,0.0005455952,0.002467728,0.00003313918,0.00009681788,0.0004093618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142416,"about_ca_system_score_gemma":0.0001187276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001325649,"about_ca_topic_score_gemma":0.000001002585,"domain_scores_codex":[0.9987876,0.000005738333,0.0001963818,0.0001461489,0.0005667286,0.0002974044],"domain_scores_gemma":[0.9996052,0.00003369282,0.00005401699,0.0001561917,0.00008710057,0.00006384649],"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":[0.000001841527,0.000009560188,0.0001624388,0.00003889683,8.29813e-7,2.40027e-7,0.001694904,0.962367,0.01120407,0.003868614,0.0006144336,0.02003718],"study_design_scores_gemma":[0.00005666183,0.00003543741,0.01151221,0.00003557666,0.000001740246,0.000001321411,0.0004405494,0.9854957,0.001357571,0.0008299286,0.0001202232,0.0001131099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1994716,0.00000399119,0.7587087,0.0008056647,0.0004389132,0.0004288778,0.000005387866,0.002348733,0.03778814],"genre_scores_gemma":[0.9930676,0.00000898919,0.006689578,0.0001417923,0.00001644565,0.00004573992,0.000006347326,0.000003736658,0.00001975629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.793596,"threshold_uncertainty_score":0.6710233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377259832818779,"score_gpt":0.2855422059919898,"score_spread":0.261769607663802,"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."}}