{"id":"W2782603054","doi":"10.1109/ictcs.2017.70","title":"The Theory and Applications of the Stochastic Point Location Problem","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Point (geometry); Mathematics; Geometry","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":[0.002665997,0.001246427,0.001492603,0.00160915,0.001754268,0.003727441,0.002662219,0.004014957,0.01434978],"category_scores_gemma":[0.01252613,0.000870783,0.00196112,0.002879754,0.004658396,0.007511082,0.004118796,0.005740903,0.002665122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002794661,"about_ca_system_score_gemma":0.001732549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002629388,"about_ca_topic_score_gemma":0.001366536,"domain_scores_codex":[0.9973966,0.001139951,0.0001592805,0.0005183577,0.00059901,0.0001867641],"domain_scores_gemma":[0.994866,0.003670365,0.0004101595,0.0003845367,0.0004504547,0.0002185342],"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":[0.00001600046,0.00001856702,0.0002292424,0.0001219604,0.00002133029,0.00006360529,0.00009133237,0.0372088,0.0001546448,0.9433392,0.00442682,0.01430848],"study_design_scores_gemma":[0.000011355,0.00001650425,0.00008275134,0.00004431625,0.000007972996,0.00006871085,0.00003942148,0.08922796,0.0001058617,0.8998471,0.01053401,0.00001393337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005956267,0.004474223,0.9438859,0.005471671,0.0005341037,0.00006344386,0.0003151989,0.0001850416,0.03911409],"genre_scores_gemma":[0.5622251,0.02190117,0.3565804,0.003256765,0.004887944,0.000910887,0.001495711,0.0004695163,0.04827245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01434978,"threshold_uncertainty_score":0.04800481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005484257076609914,"score_gpt":0.2140141813800427,"score_spread":0.2085299243034328,"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."}}