{"id":"W4409787680","doi":"10.61091/jcmcc127a-294","title":"AI-driven personalized training model for dance movement and health management research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dance; Movement (music); Training (meteorology); Computer science; Psychology; Knowledge management; Visual arts; Human–computer interaction; Art; Aesthetics; Geography","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":[0.0007282881,0.0005491373,0.0005176209,0.001262919,0.0005656228,0.001077329,0.001423945,0.0007849393,0.003314446],"category_scores_gemma":[0.001802863,0.0002988139,0.0009367749,0.001123136,0.0003988569,0.001272867,0.0006872516,0.0007568186,0.0006703943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230715,"about_ca_system_score_gemma":0.001661325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214454,"about_ca_topic_score_gemma":0.02109871,"domain_scores_codex":[0.9992771,0.0001552254,0.00005471566,0.0002517583,0.0002010062,0.00006029477],"domain_scores_gemma":[0.9995506,0.0001772492,0.00003998184,0.0000509259,0.0001502157,0.00003085585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001432466,0.0003195289,0.01021307,0.0003939437,0.0002510223,0.0003444269,0.0005830656,0.6440327,0.006502827,0.06452908,0.006670669,0.2660163],"study_design_scores_gemma":[0.00000927698,0.00003147636,0.0009939454,0.00001450261,0.00003687765,0.0000532893,0.00005909054,0.9845754,0.0005484977,0.01067238,0.002993642,0.00001164414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01984202,0.0005611316,0.9675384,0.0006374471,0.00009285381,0.0001578352,0.0003581297,0.0007178619,0.01009434],"genre_scores_gemma":[0.6418228,0.001078296,0.3407558,0.0003332005,0.0000928759,0.0005976908,0.001124085,0.00009560576,0.01409971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02214454,"threshold_uncertainty_score":0.04403132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046287512220971,"score_gpt":0.4039610671677121,"score_spread":0.2993323159456149,"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."}}