{"id":"W1642480478","doi":"10.1109/ijcnn.2015.7280846","title":"Packing equal circles in a damaged square","year":2015,"lang":"en","type":"article","venue":"","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Square (algebra); Simulated annealing; Packing problems; Vacancy defect; Mathematical optimization; Container (type theory); Algorithm; Greedy algorithm; Mathematics; Computer science; Combinatorics; Geometry; Engineering; Physics; Condensed matter physics; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268196,0.00005604051,0.00006549111,0.00007133475,0.000009399949,0.00002987187,0.00005002128,0.00003714859,0.0001067619],"category_scores_gemma":[0.0000246739,0.00005699713,0.00001182544,0.0001577282,0.000006223986,0.00008985603,0.00001083945,0.0000729782,0.00008269816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002962076,"about_ca_system_score_gemma":0.000009585398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002742392,"about_ca_topic_score_gemma":0.0001233761,"domain_scores_codex":[0.9996322,0.00001391241,0.000101113,0.00006135076,0.00007158938,0.0001198189],"domain_scores_gemma":[0.9998213,0.00001539876,0.00000625507,0.00008462936,0.00001801422,0.00005441269],"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":[0.000002499458,0.00001368835,0.02754684,0.00003176218,0.000005959983,0.000004929733,0.002072756,0.9610481,0.0001705592,0.002111602,0.002439043,0.004552295],"study_design_scores_gemma":[0.002046374,0.00005122808,0.01512605,0.0001187325,0.00000583117,0.000008415198,0.001699525,0.9559755,0.001600661,0.001995764,0.02077991,0.0005919796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3897561,0.0003655963,0.2287847,0.0002919526,0.0008774778,0.0002983753,0.000004773037,0.001823558,0.3777975],"genre_scores_gemma":[0.9969357,0.000005112004,0.002737366,0.00004335547,0.00002393751,0.000003735611,0.000006553214,0.00001528131,0.0002290002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6071795,"threshold_uncertainty_score":0.2324276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480836509454603,"score_gpt":0.2336647762121232,"score_spread":0.1888564111175772,"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."}}