{"id":"W3096267547","doi":"10.3390/info11110506","title":"A Multi-Objective Optimization Problem on Evacuating 2 Robots from the Disk in the Face-to-Face Model; Trade-Offs between Worst-Case and Average-Case Analysis","year":2020,"lang":"en","type":"article","venue":"Information","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Face (sociological concept); Parameterized complexity; Robot; Mathematical optimization; Trajectory; Algorithm; Artificial intelligence; Mathematics","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":[0.000518082,0.0001523454,0.0001656178,0.0001667754,0.0003149574,0.0005810065,0.0003793883,0.00006274632,0.000004886288],"category_scores_gemma":[0.000161632,0.0001008558,0.00005361098,0.001365565,0.00002152238,0.001832664,0.0001387703,0.0002474495,0.00001469413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004735748,"about_ca_system_score_gemma":0.00004264932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009888493,"about_ca_topic_score_gemma":0.00005047791,"domain_scores_codex":[0.9986081,0.0002130489,0.000424271,0.0002261443,0.0003357042,0.0001927314],"domain_scores_gemma":[0.9990584,0.0003208611,0.0001745292,0.0002866186,0.00005323591,0.0001063091],"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":[0.000007885612,0.00001137007,0.0003079197,0.000005589983,0.00003312681,0.00001406287,0.09367265,0.8970434,0.000001971378,0.0001730932,0.00002556643,0.008703355],"study_design_scores_gemma":[0.0004766381,0.00006286892,0.0007710162,0.00001417184,0.00003442984,0.00001721167,0.001895282,0.9964951,0.00001499469,0.00007698133,0.00001295557,0.0001283308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0208697,0.000006693367,0.9714149,0.006309598,0.0000107774,0.0009530134,0.00003762298,0.00006997826,0.0003277776],"genre_scores_gemma":[0.8928658,0.000006022418,0.1049559,0.00202061,0.00001762016,0.00005540152,0.0000662957,0.000005009514,0.000007359879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8719961,"threshold_uncertainty_score":0.5602659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580419657583967,"score_gpt":0.2778586777553245,"score_spread":0.2320544811794849,"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."}}