{"id":"W2028528076","doi":"10.4271/2014-01-0734","title":"A Reconfigurable Algorithm for Identifying and Validating Functional Workspace of Industrial Manipulators","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Workspace; Computer science; Robot manipulator; Control engineering; Control theory (sociology); Artificial intelligence; Engineering; Robot; Control (management)","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":[0.0005749287,0.0004135077,0.0005763923,0.0001684301,0.0002342211,0.0001067953,0.0002825715,0.0005951757,0.0001769861],"category_scores_gemma":[0.0004060854,0.0003928328,0.0001785409,0.0003077378,0.0002111217,0.0003710115,0.00008281592,0.0006034411,0.000005627798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009694126,"about_ca_system_score_gemma":0.00002492715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001460931,"about_ca_topic_score_gemma":0.001868834,"domain_scores_codex":[0.9978192,0.00004553133,0.0007069121,0.0005565841,0.000388296,0.0004834397],"domain_scores_gemma":[0.9987434,0.0004131508,0.0001642593,0.0004277732,0.0000776559,0.000173829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001989941,0.0001376618,0.0002097617,0.0004129159,0.000124629,0.00000314809,0.00005628468,0.008528659,0.8113781,0.01162686,0.002772374,0.1645506],"study_design_scores_gemma":[0.004341499,0.001666101,0.925271,0.001644592,0.000346616,0.00009503059,0.0003115786,0.0002574681,0.006706801,0.01220524,0.04489483,0.002259262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8641124,0.001881683,0.01649944,0.002872167,0.004283326,0.006576548,0.000291425,0.01269876,0.09078424],"genre_scores_gemma":[0.9693915,0.0001193528,0.0296462,0.0001159539,0.0002311697,0.0001850392,0.00005255659,0.00009521662,0.0001630472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9250612,"threshold_uncertainty_score":0.9998524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974734504557461,"score_gpt":0.2392264559223292,"score_spread":0.2094791108767546,"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."}}