{"id":"W4255922256","doi":"10.32920/ryerson.14655639","title":"Scatter Search on a Disk","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Robot; Upper and lower bounds; Unit disk; Carry (investment); Object (grammar); Computer science; Combinatorics; Artificial intelligence; Mathematics","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":[0.0004540867,0.0004761517,0.001097322,0.0007850085,0.001010021,0.001247403,0.0009258523,0.00139346,0.005577735],"category_scores_gemma":[0.003334537,0.0004007154,0.0003984988,0.001315331,0.0006908374,0.002242753,0.001625202,0.0005992134,0.00106481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102065,"about_ca_system_score_gemma":0.0007243997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00534956,"about_ca_topic_score_gemma":0.003408376,"domain_scores_codex":[0.9996017,0.0000996434,0.00002064585,0.0001045944,0.00007574342,0.00009775619],"domain_scores_gemma":[0.9986629,0.000792844,0.0001177318,0.0001717357,0.0001426845,0.0001120409],"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":[0.0009068291,0.0001314829,0.002282847,0.0002480552,0.00006886957,0.0005304167,0.0003228697,0.8777812,0.008310156,0.05506651,0.007755919,0.04659492],"study_design_scores_gemma":[0.0000602407,0.00006635445,0.000297624,0.00001484324,0.000007860815,0.0001326004,0.0001150691,0.9729969,0.001351822,0.02263361,0.002313738,0.000009394902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4464117,0.002249065,0.5259217,0.001291222,0.0001105293,0.00009621656,0.0005289827,0.0006722359,0.02271837],"genre_scores_gemma":[0.8960919,0.00052503,0.09102058,0.0001914715,0.00004497315,0.00008991417,0.0004717168,0.0001106644,0.01145375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005577735,"threshold_uncertainty_score":0.01865941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489022449323859,"score_gpt":0.3063104859897336,"score_spread":0.2574082410573478,"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."}}