{"id":"W4285519094","doi":"10.2139/ssrn.3930617","title":"Online Facility Location","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Facility location problem; Regret; Computer science; Leverage (statistics); Facility management; Profit (economics); Operations research; Mathematical optimization; Engineering; Artificial intelligence; Mathematics; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009719504,0.0001237479,0.0001195249,0.0001129339,0.0002310708,0.0001486319,0.0001923537,0.00004036309,0.0006637376],"category_scores_gemma":[0.0001927713,0.0001211192,0.0000853657,0.0005636303,0.00002243059,0.0006722555,0.00008157014,0.0006319604,0.0008046936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104488,"about_ca_system_score_gemma":0.0005390421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003197928,"about_ca_topic_score_gemma":0.009417967,"domain_scores_codex":[0.9981322,0.00001809047,0.0003006767,0.0002169723,0.0002806082,0.001051395],"domain_scores_gemma":[0.9992441,0.000005346784,0.00007055025,0.0002197532,0.0004469071,0.00001336318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005069405,0.0009647855,0.009236594,0.0001750779,0.0002498462,0.00001238541,0.00006264334,0.003899364,0.0003223666,0.7867079,0.004677834,0.1936405],"study_design_scores_gemma":[0.001735803,0.00004161442,0.02891844,0.00004321048,0.0001798932,0.00009086241,0.01137264,0.01177856,0.00007451646,0.3332319,0.6117483,0.0007842436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604056,0.003715653,0.09043362,0.02484044,0.002079102,0.000313603,0.000008317902,0.0002917323,0.01791193],"genre_scores_gemma":[0.9914188,0.0006806941,0.00004352982,0.001511922,0.0006643103,0.000003505922,0.0001210968,0.000008638597,0.005547504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6070704,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767587141447088,"score_gpt":0.2347428420535306,"score_spread":0.2170669706390597,"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."}}