{"id":"W2760735284","doi":"10.1155/2017/9213805","title":"A <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"><mml:mi>d</mml:mi><mml:mi>ϕ</mml:mi></mml:math>-Strategy: Facilitating Dual-Formation Control of a Virtually Connected Team","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Artificial intelligence; Machine learning; Computer science; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082634,0.0009350833,0.000534595,0.0007253616,0.0008000802,0.003410919,0.001901592,0.001685314,0.09887472],"category_scores_gemma":[0.001807776,0.0004793927,0.0006549291,0.0009144686,0.0005864758,0.002053509,0.001587824,0.001241233,0.0707299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394196,"about_ca_system_score_gemma":0.001961038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01539321,"about_ca_topic_score_gemma":0.01736877,"domain_scores_codex":[0.9991106,0.0001810669,0.00006981603,0.0001972864,0.0003506385,0.00009051346],"domain_scores_gemma":[0.9991459,0.000132915,0.00006757354,0.0003068486,0.0002288457,0.0001179677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004782359,0.000542409,0.0007896118,0.0003609358,0.00005295187,0.0003740067,0.0004504802,0.01208902,0.03161626,0.1027647,0.4388886,0.4115928],"study_design_scores_gemma":[0.0001258012,0.0001197012,0.0007766509,0.00007352843,0.00001727664,0.0001811859,0.00009656129,0.04147873,0.01180279,0.01262667,0.9326566,0.00004450361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007886529,0.000560259,0.5816239,0.003377039,0.0008275324,0.001061662,0.006525244,0.02485541,0.3732824],"genre_scores_gemma":[0.09259194,0.002131517,0.2970565,0.002169161,0.0003531241,0.001308782,0.02494981,0.005658452,0.5737806],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09887472,"threshold_uncertainty_score":0.3307689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533735676301784,"score_gpt":0.2455268943654454,"score_spread":0.2301895376024276,"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."}}