{"id":"W4410397800","doi":"10.1016/j.jcss.2025.103678","title":"Weighted group search on the disk & improved lower bounds for priority evacuation","year":2025,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Group (periodic table); Computer science; Combinatorics; Mathematics; Mathematical optimization; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002730015,0.002360935,0.001914515,0.001404658,0.001071039,0.002141237,0.003194048,0.001925995,0.007790113],"category_scores_gemma":[0.01821442,0.000623042,0.001280756,0.002031103,0.001589203,0.007250247,0.003468876,0.003975597,0.001284083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112743,"about_ca_system_score_gemma":0.001341244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002356217,"about_ca_topic_score_gemma":0.002408639,"domain_scores_codex":[0.9978735,0.0008293598,0.00006998081,0.0003211531,0.0004522295,0.0004537077],"domain_scores_gemma":[0.9923168,0.005369629,0.0006229948,0.0005625499,0.000564872,0.0005631322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004568031,0.0002693887,0.001075622,0.0005288766,0.0001100321,0.0001621773,0.0003447154,0.6814015,0.00365537,0.2492349,0.01163601,0.05112465],"study_design_scores_gemma":[0.00002403461,0.0001010421,0.0001572131,0.00004540388,0.0000212184,0.00003906296,0.00006401277,0.9080177,0.0007647051,0.08773136,0.003019001,0.00001532586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03184381,0.002437877,0.9469562,0.001481598,0.000238226,0.0001008713,0.0002561462,0.0002804104,0.01640482],"genre_scores_gemma":[0.665233,0.003034891,0.309497,0.0009203333,0.0005548502,0.0005453335,0.0007170353,0.0006939041,0.01880373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007790113,"threshold_uncertainty_score":0.02606052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111453595263475,"score_gpt":0.3065126150479861,"score_spread":0.2753980790953514,"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."}}