{"id":"W2142424442","doi":"10.1109/icvd.1994.282671","title":"A new genetic algorithm for the channel routing problem","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Routing (electronic design automation); Genetic algorithm; Channel (broadcasting); Algorithm; Computer network; Machine learning","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":[0.00004874953,0.00007885961,0.00006412544,0.00002060543,0.00005460428,0.00002996224,0.0001105329,0.0000395552,0.0001424854],"category_scores_gemma":[0.000002916284,0.00005348902,0.00004066763,0.00006753689,0.000004751736,0.00003419446,0.00001039829,0.0000524876,0.00002709999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000128036,"about_ca_system_score_gemma":0.00000199549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280656,"about_ca_topic_score_gemma":0.000002500623,"domain_scores_codex":[0.9995984,0.00000279486,0.00009702813,0.00007459245,0.00004976574,0.0001774434],"domain_scores_gemma":[0.9997899,0.00004030592,0.00000805784,0.0001167132,0.0000108516,0.00003415887],"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":[1.192978e-7,0.000003142869,0.000001954583,0.000008541529,0.00001592022,5.670119e-7,0.0002043652,0.0007756148,0.0002635978,0.0001898497,0.05013834,0.948398],"study_design_scores_gemma":[0.0001048776,0.00002560524,0.00002016979,0.000008197343,0.000009889937,0.000006482858,0.00002329887,0.9828197,0.004549692,0.001098799,0.01123362,0.00009963828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001486925,0.0008675855,0.989467,0.0001158863,0.000063585,0.0003450511,0.000001505097,0.0007142603,0.008410263],"genre_scores_gemma":[0.1144231,0.0002858216,0.8767915,0.0001611739,0.0004848892,0.0001887227,0.000001107234,0.00006109357,0.007602539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9820441,"threshold_uncertainty_score":0.2181219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888670204789744,"score_gpt":0.1999399463439825,"score_spread":0.181053244296085,"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."}}