{"id":"W4246965183","doi":"10.32920/ryerson.14651937.v1","title":"Multiple Working Mode Based Door Opening Control and Fault Detection of Mobile Modular and 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":"Lakehead University; Toronto Metropolitan University","funders":"","keywords":"Engineering; Robot; Modular design; Control engineering; Torque; Control theory (sociology); Fault detection and isolation; Computer science; Simulation; Control (management); Actuator; Artificial intelligence","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":[0.0002712648,0.0004175508,0.0004353541,0.0003223492,0.0001852517,0.0003587628,0.000923039,0.0003891922,0.0005864269],"category_scores_gemma":[0.000487703,0.0001577237,0.0003569034,0.0001604479,0.0003550669,0.0003443483,0.0004004013,0.000281057,0.0001159298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949995,"about_ca_system_score_gemma":0.0002407197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005767667,"about_ca_topic_score_gemma":0.0005057066,"domain_scores_codex":[0.9997557,0.00002663568,0.00001210799,0.00009092119,0.00007989863,0.00003473524],"domain_scores_gemma":[0.9997,0.0000575678,0.0001194731,0.00004298663,0.00005924149,0.00002082086],"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":[0.0004576005,0.0001484103,0.002040951,0.0004042285,0.00006752247,0.0006900145,0.000373808,0.4055313,0.2511391,0.008082003,0.0008702767,0.3301948],"study_design_scores_gemma":[0.0000230269,0.0004178117,0.001065425,0.00001503536,0.00002004632,0.0001718971,0.00002529796,0.9708779,0.02505482,0.001098576,0.001210938,0.00001916935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052143,0.0002838277,0.8921819,0.0000487858,0.00004724281,0.00003351781,0.00001252896,0.0007076444,0.001470282],"genre_scores_gemma":[0.9639305,0.00007928311,0.03493376,0.00001862789,0.00001325234,0.0000330274,0.00001082459,0.00001073491,0.0009700097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000923039,"threshold_uncertainty_score":0.001961768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537717767940325,"score_gpt":0.2246423568348259,"score_spread":0.2092651791554226,"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."}}