{"id":"W3166471592","doi":"10.1017/s0263574721000680","title":"A multiple working mode approach to robotic hammering: Analysis and experiments","year":2021,"lang":"en","type":"article","venue":"Robotica","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Robot; Modular design; Compensation (psychology); Simulation; Impulse (physics); Computer science; Engineering; Mode (computer interface); Artificial intelligence; Human–computer interaction","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":[0.00005621775,0.0001385548,0.0002432398,0.0001676078,0.00008268763,0.00009718844,0.000069389,0.00005658201,0.000042678],"category_scores_gemma":[0.00005173301,0.0001559199,0.00006953574,0.0007348729,0.00001017539,0.00006074134,0.00005773679,0.0001366993,0.00002624569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003971277,"about_ca_system_score_gemma":0.000007353335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602385,"about_ca_topic_score_gemma":0.00001664683,"domain_scores_codex":[0.9991409,0.00003205899,0.0001769811,0.0002609904,0.0001378243,0.0002512851],"domain_scores_gemma":[0.9995351,0.00004464369,0.00001519117,0.0002276674,0.00002302898,0.0001544057],"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":[0.000001845755,0.00002123235,0.008627502,0.00001652612,0.000194019,0.000004968967,0.0006957146,0.9857388,0.003604216,0.0002773978,0.00003107668,0.0007867291],"study_design_scores_gemma":[0.0001500038,0.000004055226,0.01747466,0.00001480036,0.0001000113,0.000004573638,0.0001877511,0.9806283,0.0009646587,0.000006980871,0.0002807012,0.0001835047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01933087,0.0002973927,0.9726309,0.00006733594,0.0001079008,0.00008617941,1.264751e-7,0.0002163573,0.007262976],"genre_scores_gemma":[0.9310759,0.000009982341,0.06843354,0.00007694493,0.00004444439,0.00001477048,0.00001658065,0.00002956954,0.0002982929],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.911745,"threshold_uncertainty_score":0.6358229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391926398434479,"score_gpt":0.257907878820104,"score_spread":0.2187152389766561,"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."}}