{"id":"W1985976271","doi":"10.1007/s10732-007-9067-6","title":"Heuristics for multi-period capacity expansion in local telecommunications networks","year":2007,"lang":"en","type":"article","venue":"Journal of Heuristics","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Heuristics; Heuristic; Mathematical optimization; Computer science; Genetic algorithm; Local search (optimization); Steiner tree problem; Tree (set theory); Topology (electrical circuits); Mathematics","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":[0.001623846,0.0001380108,0.000311624,0.0002819469,0.00008148266,0.00003673528,0.0003484906,0.0001511524,0.000005270826],"category_scores_gemma":[0.0006255705,0.0001354181,0.00009441133,0.0002632992,0.00007583256,0.00007181871,0.00003597817,0.0007023449,0.000004075353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025864,"about_ca_system_score_gemma":0.00005381016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001418129,"about_ca_topic_score_gemma":0.0001749832,"domain_scores_codex":[0.9983388,0.00006047692,0.0008589535,0.00008168421,0.0002674754,0.0003925752],"domain_scores_gemma":[0.9985274,0.0005549791,0.0001445107,0.0002918798,0.0003324373,0.0001487994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002379015,0.000625347,0.03078588,0.0005456563,0.0001976598,0.0003197493,0.001800321,0.9135623,0.003088046,0.0006855452,0.01686546,0.03128616],"study_design_scores_gemma":[0.00137777,0.000153568,0.02033859,0.0002408318,0.00002648204,0.0002544405,0.0003807028,0.9547763,0.0007266354,0.00008327394,0.0213944,0.0002469751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1002604,0.0008477425,0.8977095,0.00003065285,0.0007779971,0.000182165,0.000008916743,0.00002993308,0.0001526575],"genre_scores_gemma":[0.9410177,0.0001770141,0.05836035,0.00001234236,0.0003555045,0.000004347364,0.000003568,0.00004124765,0.00002795181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8407573,"threshold_uncertainty_score":0.5522191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05579251369741658,"score_gpt":0.3186129254522689,"score_spread":0.2628204117548523,"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."}}