{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000139599,0.0002890665,0.0004202026,0.001066963,0.0004255691,0.000043383,0.0002591359,0.000171496,0.00008643374],"category_scores_gemma":[0.00008272094,0.000408509,0.0001956169,0.001188927,0.0001131185,0.0007052291,0.000165378,0.0004245399,0.0000302306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828325,"about_ca_system_score_gemma":0.0001730706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002532242,"about_ca_topic_score_gemma":0.002085479,"domain_scores_codex":[0.9983378,0.0003039748,0.0002256257,0.0005192658,0.0001511992,0.0004621496],"domain_scores_gemma":[0.9989296,0.0002036509,0.000124078,0.0002910188,0.000253341,0.0001983095],"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":[0.0007021181,0.0006024851,0.02091041,0.0006356626,0.0004217396,0.0008313215,0.02095078,0.813772,0.08059461,0.03616146,0.0004082123,0.02400924],"study_design_scores_gemma":[0.005187101,0.0002488145,0.02599326,0.0003415143,0.0002170211,0.00003835296,0.02326688,0.8373054,0.008390031,0.0004184337,0.09753013,0.001063074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094855,0.00004684436,0.1271322,0.00004981011,0.0002161377,0.0004205437,0.00001606383,0.0002669696,0.06236592],"genre_scores_gemma":[0.9922518,0.00005737875,0.002342135,0.000006939995,0.00005661533,1.823549e-7,0.0002448871,0.00004376966,0.004996265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1827663,"threshold_uncertainty_score":0.9998367,"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."}}