{"id":"W1981162594","doi":"10.1016/j.ejor.2007.11.007","title":"Apportionment methods and the Liu–Layland problem","year":2007,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Apportionment; Computer science; Operations research; Mathematics; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01181676,0.001170841,0.002140082,0.002071651,0.002130059,0.002730114,0.004414221,0.003268536,0.01104022],"category_scores_gemma":[0.03608686,0.001044185,0.001720016,0.00252823,0.004310308,0.008399654,0.004676138,0.005070738,0.0007787562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638991,"about_ca_system_score_gemma":0.002494821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003493647,"about_ca_topic_score_gemma":0.001997698,"domain_scores_codex":[0.9958993,0.00242315,0.0001880403,0.0004510335,0.0006002982,0.0004382928],"domain_scores_gemma":[0.9794698,0.01703735,0.0006434671,0.001202216,0.001064546,0.0005826287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001795231,0.0001265915,0.0008483941,0.0001307627,0.00007888412,0.0001169338,0.0003609659,0.1016076,0.0004526128,0.8447953,0.004352329,0.04695016],"study_design_scores_gemma":[0.00005154802,0.00004795625,0.0001731369,0.00004319462,0.00002706984,0.00005036188,0.00005665758,0.4747751,0.0004083214,0.5204233,0.003918333,0.00002505997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02489292,0.001168776,0.9605685,0.002234768,0.000202215,0.0001087995,0.00006219913,0.0001120754,0.01064978],"genre_scores_gemma":[0.5456936,0.002010343,0.410357,0.0007644919,0.0007445645,0.0006798436,0.0002546561,0.0004057024,0.0390898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01181676,"threshold_uncertainty_score":0.06249374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106822064995089,"score_gpt":0.4000204607290804,"score_spread":0.3289522400791295,"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."}}