{"id":"W6907171389","doi":"10.18910/84900","title":"Active sensing in a bioinspired hand as an enabler of implicit curriculum learning for manipulation","year":2021,"lang":"en","type":"article","venue":"OUKA (Osaka University Knowledge Archive) (Osaka University)","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enabling; Motion (physics); Active learning (machine learning); Curriculum; Adaptation (eye)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989421,0.0001973306,0.0002406837,0.0001618909,0.0002566773,0.0007845463,0.0006555539,0.0004445966,0.005783753],"category_scores_gemma":[0.0006121755,0.0002077472,0.0002383173,0.0001108418,0.0006485055,0.0009766713,0.001283026,0.0004562848,0.0008221043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832694,"about_ca_system_score_gemma":0.0002541789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002932191,"about_ca_topic_score_gemma":0.0006921303,"domain_scores_codex":[0.9998982,0.00001208572,0.000005657967,0.00003483046,0.00003073516,0.00001856184],"domain_scores_gemma":[0.9998061,0.00007307177,0.00002366965,0.00003185616,0.00003009308,0.00003520416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001808623,0.0001908327,0.0005246237,0.0001955655,0.00002209551,0.0001171163,0.0002300675,0.003530044,0.8422872,0.007732859,0.001179557,0.1438091],"study_design_scores_gemma":[0.0001716456,0.002187307,0.01000669,0.0002079288,0.0001305775,0.0006878519,0.0005574024,0.1905947,0.7237846,0.02491629,0.04664578,0.0001093651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5591433,0.004227168,0.3998789,0.001196502,0.0008156316,0.0001657608,0.0002091972,0.001426991,0.03293646],"genre_scores_gemma":[0.9172283,0.0008684619,0.06807917,0.0001476198,0.00003006668,0.00008185288,0.00006145002,0.00007083242,0.01343226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005783753,"threshold_uncertainty_score":0.01934862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136181814718458,"score_gpt":0.2174787941650568,"score_spread":0.203860612693211,"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."}}