{"id":"W1516244646","doi":"","title":"Kinesthetic City: Dance and Movement in Chinese Urban Spaces.","year":2014,"lang":"en","type":"article","venue":"","topic":"Diversity and Impact of Dance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kinesthetic learning; Dance; Movement (music); Visual arts; Aesthetics; History; Art; Psychology; Pedagogy","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":[0.0002711856,0.0002147689,0.0001969023,0.001372997,0.003252279,0.002227522,0.0002874262,0.0003405608,0.007679423],"category_scores_gemma":[0.000524885,0.0001238184,0.0001590304,0.002234793,0.002303184,0.0009515823,0.00185363,0.0003758977,0.000173386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830999,"about_ca_system_score_gemma":0.001839733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07902153,"about_ca_topic_score_gemma":0.2298615,"domain_scores_codex":[0.9998054,0.0000508076,0.000009639835,0.00003167147,0.00003000197,0.00007241878],"domain_scores_gemma":[0.9997614,0.000046284,0.00004051433,0.00001031835,0.00002492474,0.0001165933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004547036,0.0002084484,0.5630762,0.0006085152,0.000107145,0.001660451,0.2806781,0.0004412654,0.003974244,0.02309617,0.00663294,0.1190618],"study_design_scores_gemma":[0.000008759342,0.0000509231,0.8495513,0.00008548321,0.00003889558,0.0001524749,0.1400992,0.0001775505,0.0001168692,0.0009576561,0.008740859,0.00001983555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740887,0.001478961,0.0001509508,0.0007037228,0.00004393509,0.00001282218,0.0001041835,0.000007192447,0.02340965],"genre_scores_gemma":[0.9973577,0.0004381736,0.00004274202,0.00003733135,0.00001429395,0.000004322542,0.00003052719,0.000002959929,0.002071994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07902153,"threshold_uncertainty_score":0.1571231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076606856368604,"score_gpt":0.2645286510772449,"score_spread":0.2537625825135588,"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."}}