{"id":"W4411656241","doi":"10.51847/znpy6mhwjl","title":"10.51847/znPy6MHWjL","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Routing (electronic design automation); Routing algorithm; Algorithm; Mathematical optimization; Mathematics; Routing protocol; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003910055,0.001173391,0.0006290537,0.00154214,0.0009714349,0.002256159,0.001158652,0.002826216,0.9198025],"category_scores_gemma":[0.0007967319,0.0004362402,0.0004964629,0.002229663,0.0006529888,0.001817877,0.001825664,0.00117814,0.9179218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008259081,"about_ca_system_score_gemma":0.0005587491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004745155,"about_ca_topic_score_gemma":0.003657311,"domain_scores_codex":[0.9997103,0.00002614,0.00002052731,0.00009770035,0.00008582541,0.00005960587],"domain_scores_gemma":[0.9995141,0.00009943447,0.00003788575,0.00009525593,0.0001601609,0.00009313971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003018538,0.0003232353,0.001331546,0.0004901969,0.00003355294,0.0004936335,0.0001125402,0.001857593,0.009311805,0.01234549,0.2140554,0.7593431],"study_design_scores_gemma":[0.00006921095,0.00007617192,0.00127009,0.0001650171,0.0000206406,0.0003589294,0.000129074,0.004047203,0.0022234,0.003062674,0.9885511,0.00002647881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005619643,0.0008626125,0.0135762,0.001524709,0.001092771,0.0001749465,0.002017895,0.003271221,0.9718601],"genre_scores_gemma":[0.00967837,0.0003508907,0.003305531,0.0003454871,0.000103914,0.00007124927,0.001352158,0.0003560852,0.9844364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08019751,"threshold_uncertainty_score":0.114392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004313505636045159,"score_gpt":0.1607491250270117,"score_spread":0.1564356193909666,"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."}}