{"id":"W2022150528","doi":"10.1007/s10288-004-0057-3","title":"Lower bounding and tabu search procedures for the frequency assignment problem with polarization constraints","year":2005,"lang":"en","type":"article","venue":"4OR","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Tabu search; Bounding overwatch; Mathematical optimization; CONTEST; Polarization (electrochemistry); Frequency assignment; Computer science; Assignment problem; Mathematics; Algorithm; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.003606599,0.001555458,0.001915646,0.002724159,0.001660583,0.002743705,0.002924687,0.002675829,0.01914763],"category_scores_gemma":[0.01773713,0.001114126,0.001745432,0.004507561,0.001562718,0.002767835,0.002027354,0.004604132,0.003021196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129965,"about_ca_system_score_gemma":0.003298317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009088437,"about_ca_topic_score_gemma":0.01163637,"domain_scores_codex":[0.9970468,0.0015601,0.00008369688,0.000185328,0.0007235632,0.0004005678],"domain_scores_gemma":[0.9909615,0.007240686,0.000321284,0.0006369996,0.0006924847,0.0001469741],"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":[0.0002106361,0.0002937643,0.0003471708,0.0002577122,0.00005504322,0.00005149076,0.0001933213,0.6652563,0.001124122,0.120267,0.01544564,0.1964979],"study_design_scores_gemma":[0.00004896284,0.00003182131,0.0001213138,0.00004894962,0.0000135533,0.00001897506,0.00003489372,0.945883,0.0005109124,0.05083692,0.002435249,0.0000154821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009944898,0.0006624335,0.9718363,0.0006771081,0.0001165874,0.0001897658,0.0003978469,0.0009853152,0.01518983],"genre_scores_gemma":[0.108384,0.0004986978,0.8809626,0.0003554459,0.0001307496,0.0008070896,0.0009623577,0.0008188743,0.007080217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01914763,"threshold_uncertainty_score":0.0640552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363488760412227,"score_gpt":0.2470552419651835,"score_spread":0.2334203543610613,"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."}}