{"id":"W4409787631","doi":"10.61091/jcmcc127a-376","title":"Shortest Path Algorithm Based Cheerleading Formation Design and Movement Coordination Optimization in Colleges and Universities under Multi-Intelligent Body Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Movement (music); Shortest path problem; Computer science; Optimization algorithm; Algorithm; Artificial intelligence; Simulation; Human–computer interaction; Mathematical optimization; Theoretical computer science; Mathematics; Computer network; Physics","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":[0.0004300353,0.0007680975,0.0007312609,0.0005973348,0.0007459892,0.000894135,0.001091766,0.0008394119,0.001999937],"category_scores_gemma":[0.0008054057,0.000406507,0.000737522,0.0005302967,0.0005456429,0.0007688393,0.001057154,0.0005682262,0.0001686495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009160313,"about_ca_system_score_gemma":0.001691552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01487032,"about_ca_topic_score_gemma":0.008902038,"domain_scores_codex":[0.9996923,0.00007555476,0.00001466699,0.00008273523,0.00005843344,0.00007634738],"domain_scores_gemma":[0.999727,0.00009462045,0.00004435571,0.00001940829,0.0000667438,0.00004796769],"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":[0.00003796292,0.00002498358,0.0008830146,0.00003485853,0.00002271239,0.00007195005,0.00006241533,0.9737268,0.00134832,0.004107812,0.0005516584,0.01912741],"study_design_scores_gemma":[0.000007031953,0.00002412199,0.0001276454,0.000002149848,0.000007463278,0.00001028644,0.00002429016,0.9981492,0.0002329007,0.001042563,0.0003685397,0.00000387622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08153963,0.0002726885,0.9115066,0.0002419868,0.00005626478,0.00008069009,0.00005775726,0.0003289372,0.005915452],"genre_scores_gemma":[0.8750007,0.0002662697,0.1192652,0.00006185724,0.00001425552,0.0001905566,0.0001181581,0.00004436588,0.00503864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01487032,"threshold_uncertainty_score":0.02956754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844336690284588,"score_gpt":0.2614941084362475,"score_spread":0.2430507415334016,"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."}}