{"id":"W4392783419","doi":"10.1002/aisy.202300660","title":"Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Defense Acquisition Program Administration","keywords":"Whisker; Property (philosophy); Materials science; Composite material; Philosophy","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":[0.0001234766,0.0003126432,0.0002056461,0.000150013,0.00006973325,0.0002193607,0.000434715,0.0003530601,0.000566105],"category_scores_gemma":[0.0003039345,0.0001224155,0.0002016868,0.0001440129,0.0002484129,0.0004512399,0.0002874342,0.0003281842,0.0001554518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783546,"about_ca_system_score_gemma":0.0001872731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000539946,"about_ca_topic_score_gemma":0.001072807,"domain_scores_codex":[0.9999306,0.000008004215,0.000002676912,0.00002333926,0.00002613001,0.000009340722],"domain_scores_gemma":[0.9999096,0.00002727028,0.00002003373,0.00001029424,0.00002354561,0.000009183402],"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":[0.0001389851,0.0001529746,0.001527668,0.0001748972,0.00006432151,0.0001583739,0.00007366097,0.05293595,0.7578414,0.002313304,0.001216238,0.1834022],"study_design_scores_gemma":[0.00001893256,0.0003009523,0.00301923,0.00001327666,0.00003124489,0.0001472708,0.00002846109,0.8431619,0.1482985,0.003395984,0.001557288,0.00002686962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2660403,0.0008140992,0.7278513,0.0002255218,0.0001195377,0.00004771307,0.0001569763,0.001365666,0.003379022],"genre_scores_gemma":[0.9051304,0.0003263418,0.09151443,0.0001666095,0.00002175667,0.00003815371,0.0001530476,0.00003643439,0.002612645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000566105,"threshold_uncertainty_score":0.001893759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336971440716621,"score_gpt":0.3176321172926805,"score_spread":0.1839349732210183,"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."}}