{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000154389,0.0005503523,0.0006413078,0.0001754308,0.00008173539,0.0003709808,0.0005074921,0.0003007429,0.00009921287],"category_scores_gemma":[0.00002388841,0.0005053138,0.0001478763,0.0002648405,0.00001911654,0.00008643012,0.0002379443,0.0008565257,0.00002647087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575253,"about_ca_system_score_gemma":0.00005943649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007940817,"about_ca_topic_score_gemma":0.000240755,"domain_scores_codex":[0.997758,0.00002950622,0.0004139641,0.0008617038,0.0003187562,0.000618123],"domain_scores_gemma":[0.9985412,0.00003035271,0.00004788395,0.001042413,0.00008793307,0.0002502596],"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":[0.000008771784,0.00003879819,0.0001149455,0.0003033548,0.0001726776,0.00002248738,0.000870505,0.9841375,0.003919858,0.00009749243,0.00008925644,0.0102244],"study_design_scores_gemma":[0.0001134477,0.00001499806,0.00007464656,0.0005589689,0.00003083193,0.00002526304,0.0003469901,0.9695247,0.02747241,0.00004141035,0.0009921426,0.0008041158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04014045,0.0006142965,0.9115905,0.00003063142,0.0004482424,0.000616171,0.000005052254,0.000618057,0.04593664],"genre_scores_gemma":[0.8033955,0.000104489,0.1951107,0.00007304922,0.0001247485,0.0002737331,0.00006196198,0.0001376515,0.0007181449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7632551,"threshold_uncertainty_score":0.9997398,"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."}}