{"id":"W3009355918","doi":"10.1080/03155986.2020.1729064","title":"K-best feasible clusters - ranking optimal solutions from an infeasible LP","year":2020,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Mathematical optimization; Computer science; Simple (philosophy); Decision maker; Task (project management); Mathematics; Operations research; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003886492,0.002053707,0.002300334,0.003233688,0.001422163,0.004093464,0.00170993,0.001967434,0.007850053],"category_scores_gemma":[0.01764038,0.00113685,0.001737259,0.003070629,0.002059942,0.003402184,0.002374349,0.003294372,0.00129169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234124,"about_ca_system_score_gemma":0.003330169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475433,"about_ca_topic_score_gemma":0.003375183,"domain_scores_codex":[0.9974827,0.001212493,0.0001443696,0.0003515536,0.0005447517,0.0002642034],"domain_scores_gemma":[0.9920154,0.005596097,0.0007683466,0.0004339815,0.0009147417,0.0002715589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002020984,0.0001608246,0.001096441,0.000408287,0.00008530066,0.0001909687,0.0002777057,0.82897,0.001594029,0.1111135,0.005119628,0.05078124],"study_design_scores_gemma":[0.00003678634,0.0001015043,0.0003333855,0.00009984269,0.00002615627,0.00007968805,0.0002244782,0.8604181,0.001712753,0.1344104,0.002515842,0.00004096414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02417524,0.0002283737,0.9667668,0.0005412795,0.00002789838,0.0002382733,0.0003039087,0.0002324188,0.007485767],"genre_scores_gemma":[0.2017331,0.0003521702,0.7927986,0.0001956026,0.00005923725,0.0006406519,0.0009453506,0.0003643367,0.002910927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007850053,"threshold_uncertainty_score":0.02626103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186137847136109,"score_gpt":0.3498933614528714,"score_spread":0.2312795767392605,"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."}}