{"id":"W1592032057","doi":"10.5772/28013","title":"Utilizing the Functional Work Space Evaluation Tool for Assessing a System Design and Reconfiguration Alternatives","year":2012,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Workspace; Kinematics; Envelope (radar); Boundary (topology); Computer science; Control reconfiguration; Work (physics); Process (computing); Orientation (vector space); Degrees of freedom (physics and chemistry); Path (computing); Robot; Control engineering; Engineering; Artificial intelligence; Mechanical engineering; Mathematics; Geometry; Physics; Embedded system","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":[0.0006388855,0.0002277305,0.000170477,0.00009544624,0.0001577981,0.0001938639,0.00007262151,0.0001910216,0.00003864164],"category_scores_gemma":[0.0000284397,0.0001845141,0.00005219655,0.000008437506,0.00003089707,0.0001344296,0.0000159006,0.0002042286,0.000005093809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732347,"about_ca_system_score_gemma":0.0000371278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001163121,"about_ca_topic_score_gemma":8.025337e-7,"domain_scores_codex":[0.9991778,0.00002425289,0.0002460025,0.000190196,0.0002184719,0.0001433097],"domain_scores_gemma":[0.9993349,0.000205217,0.0001366689,0.0001465741,0.0001535434,0.00002311865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001391449,0.000007142811,0.00001095622,0.002069751,0.0005505763,0.000001558843,0.001730738,0.06937204,0.003068822,0.0557843,0.0006681738,0.8665968],"study_design_scores_gemma":[0.00152317,0.0001098944,0.0001928367,0.007161443,0.001231907,0.00007741265,0.0006764199,0.7613576,0.1281851,0.01806547,0.07930785,0.002110908],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001621413,0.0009875208,0.8774766,0.00001922409,0.0005975324,0.001091367,0.000004514148,0.000218305,0.1194428],"genre_scores_gemma":[0.9689229,0.00004852513,0.008625195,0.00001949442,0.0005981257,0.0004316955,0.00004874287,0.000115773,0.02118951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9687608,"threshold_uncertainty_score":0.7524268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06782437614305929,"score_gpt":0.2617803016005592,"score_spread":0.1939559254574999,"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."}}