{"id":"W3119859168","doi":"10.3390/info12010028","title":"Robot Evacuation on a Line Assisted by a Bike","year":2021,"lang":"en","type":"article","venue":"Information","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Carleton University","funders":"","keywords":"Robot; Mobile robot; Computer science; Line (geometry); Simulation; Wireless; Face (sociological concept); Constant (computer programming); Artificial intelligence; Mathematics; Telecommunications","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":[0.000301054,0.0008358685,0.0008476809,0.0004153417,0.0009765062,0.0006374153,0.001199733,0.001370251,0.004272953],"category_scores_gemma":[0.0009475012,0.0003073525,0.0005031602,0.0002866102,0.000598693,0.001000996,0.002317193,0.00091211,0.000903022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003711766,"about_ca_system_score_gemma":0.0005351076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867929,"about_ca_topic_score_gemma":0.003041919,"domain_scores_codex":[0.9997587,0.0000569881,0.00001491794,0.00005613932,0.00003601468,0.00007735332],"domain_scores_gemma":[0.9995907,0.0001305345,0.00005381536,0.00007096301,0.00005557821,0.00009840304],"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":[0.001455489,0.0002846457,0.002613193,0.000225773,0.00007593096,0.001002858,0.0006054576,0.8991849,0.02006011,0.01031966,0.002242088,0.06192993],"study_design_scores_gemma":[0.00004625465,0.0002616334,0.0004411766,0.00001435765,0.00001309852,0.0001356517,0.0001743117,0.9905884,0.003812911,0.002185642,0.002302183,0.00002433275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4153843,0.0002276146,0.5680205,0.000487786,0.0001230178,0.000167003,0.0001366091,0.001973276,0.01347997],"genre_scores_gemma":[0.8947365,0.0000856572,0.09470026,0.00006621627,0.00001448045,0.0001308051,0.0002176986,0.00005191578,0.009996428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004272953,"threshold_uncertainty_score":0.01429451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134581304665471,"score_gpt":0.2795205945949723,"score_spread":0.2481747815483176,"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."}}