{"id":"W3030607447","doi":"10.5267/j.dsl.2020.2.001","title":"Distribution center location selection using a novel multi criteria decision-making approach under interval neutrosophic complex sets","year":2020,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Interval (graph theory); Distribution center; Center (category theory); Computer science; Distribution (mathematics); Data mining; Operations research; Artificial intelligence; Mathematics; Business","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":[0.003676777,0.001321453,0.00163763,0.002591511,0.001093723,0.003270504,0.002099257,0.001338626,0.002244896],"category_scores_gemma":[0.003662006,0.0007412622,0.002047338,0.002285468,0.0008991585,0.001818952,0.001750991,0.001322307,0.0001824409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213355,"about_ca_system_score_gemma":0.002134544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004455265,"about_ca_topic_score_gemma":0.003695038,"domain_scores_codex":[0.9961792,0.001501623,0.0002717436,0.000509977,0.001297663,0.0002398262],"domain_scores_gemma":[0.9985027,0.0007472624,0.0001968946,0.00005553435,0.0004095445,0.00008806394],"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":[0.0001343882,0.0001389188,0.001194531,0.000519052,0.0002754241,0.0004951705,0.0005255953,0.8443954,0.005649957,0.05573012,0.001576519,0.08936486],"study_design_scores_gemma":[0.00002002698,0.0000690016,0.000187634,0.00002803901,0.00004456476,0.00005979415,0.00006464783,0.9863281,0.0006638737,0.01150466,0.001004514,0.00002526875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006223514,0.0001237382,0.9913085,0.000102986,0.00002213351,0.0001098851,0.00002963192,0.00004197864,0.002037558],"genre_scores_gemma":[0.4194169,0.0004949035,0.5776366,0.0000908488,0.00009104483,0.0005676524,0.0001178583,0.00002926861,0.001554928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004455265,"threshold_uncertainty_score":0.01944488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3152621192288691,"score_gpt":0.459247508967024,"score_spread":0.1439853897381549,"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."}}