{"id":"W4390576270","doi":"10.1109/tase.2023.3345196","title":"IEEE Transactions on Automation Science and Engineering Publication Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Information engineering; Computer science; Software engineering; Engineering; History of computing; Engineering management; Systems engineering; Manufacturing engineering; Information system; Mechanical engineering; Electrical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001185075,0.001217658,0.001790533,0.002941087,0.0009616864,0.003283027,0.001067906,0.00199337,0.3396587],"category_scores_gemma":[0.002570531,0.0004829001,0.0006371627,0.003739429,0.0004386502,0.002835915,0.001223251,0.001550269,0.1991248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145862,"about_ca_system_score_gemma":0.001827119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002453062,"about_ca_topic_score_gemma":0.004344114,"domain_scores_codex":[0.999018,0.00007318763,0.0000642447,0.0000994181,0.0006332928,0.0001118536],"domain_scores_gemma":[0.9974612,0.0003588075,0.0000794322,0.0003544748,0.001566727,0.0001793997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001985993,0.0002014636,0.0005027595,0.0004014492,0.00002482175,0.0001013833,0.00002812743,0.002120156,0.003507922,0.008929664,0.6027884,0.3811953],"study_design_scores_gemma":[0.00003526489,0.0001309867,0.001762214,0.0002426231,0.00005755477,0.0002219212,0.00005364193,0.01123063,0.003730266,0.008401707,0.9740926,0.00004059072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00877663,0.01941076,0.09533263,0.01247716,0.07786511,0.0005153304,0.01086176,0.004384504,0.7703761],"genre_scores_gemma":[0.03021222,0.01713017,0.01029976,0.001204926,0.004670213,0.000157266,0.01280514,0.0008123938,0.922708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3396587,"threshold_uncertainty_score":0.9418967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009280169162147425,"score_gpt":0.2122370684713602,"score_spread":0.2029568993092127,"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."}}