{"id":"W4236302988","doi":"10.32920/ryerson.14662677","title":"A Multiple Working Mode Approach to Hammering With A Modular Reconfigurable Robot","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hammer; Robot; Modular design; Engineering; Simulation; Impulse (physics); Mode (computer interface); Computer science; Artificial intelligence; Structural engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001555107,0.0004632483,0.0002324179,0.0003083301,0.0001957646,0.0002744837,0.0005755756,0.0003577607,0.001265672],"category_scores_gemma":[0.0002735247,0.0001851117,0.0003705526,0.0001420965,0.0004362836,0.0003342509,0.0004402097,0.0003592765,0.0002673227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158471,"about_ca_system_score_gemma":0.0002297905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004533555,"about_ca_topic_score_gemma":0.0006273495,"domain_scores_codex":[0.9999077,0.00001400002,0.00000345353,0.0000247932,0.00003635599,0.00001367058],"domain_scores_gemma":[0.9998885,0.00003005607,0.00002769497,0.00002630266,0.00001640575,0.00001097785],"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":[0.00009415506,0.00005815637,0.001055025,0.0001272055,0.00003467308,0.0003119402,0.0002297139,0.6401877,0.1914708,0.01622605,0.0004029584,0.1498017],"study_design_scores_gemma":[0.000008229084,0.0002411275,0.0003483105,0.000008006508,0.00001214794,0.0001369371,0.0000336197,0.9778543,0.01566579,0.004390282,0.001285387,0.00001583306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06566368,0.00008175679,0.9301087,0.0000442206,0.00001621792,0.00002288656,0.000009252809,0.0004009591,0.003652441],"genre_scores_gemma":[0.8171718,0.0001156468,0.1784173,0.00002766966,0.00001070144,0.00005500061,0.00001913243,0.00003531788,0.004147406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001265672,"threshold_uncertainty_score":0.004234076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493023316274815,"score_gpt":0.2220721964170278,"score_spread":0.1871419632542797,"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."}}