{"id":"W1819207534","doi":"10.24908/pceea.v0i0.4919","title":"Teaching Dynamics Using Sports Biomechanics","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Physical Education and Pedagogy","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Relevance (law); Experiential learning; Dynamics (music); Perspective (graphical); Computer science; Mathematics education; Psychology; Artificial intelligence; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008049314,0.0007080053,0.0003969173,0.0007233567,0.001088429,0.002094814,0.0007340669,0.0007805318,0.03368917],"category_scores_gemma":[0.002168815,0.0002840997,0.0004338552,0.0004959752,0.0008175903,0.001384826,0.002695223,0.001035,0.00845046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035784,"about_ca_system_score_gemma":0.00252734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002472822,"about_ca_topic_score_gemma":0.01253785,"domain_scores_codex":[0.9994374,0.0001169914,0.00003160774,0.00008442794,0.0002186288,0.0001109329],"domain_scores_gemma":[0.9989919,0.00026145,0.00007240016,0.00007410634,0.0001545172,0.000445673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001996655,0.002354409,0.0118567,0.001776529,0.00003400309,0.001587564,0.007425251,0.005083879,0.09460184,0.03308039,0.08004074,0.761959],"study_design_scores_gemma":[0.00006781057,0.0009542371,0.0274612,0.001218203,0.0000285008,0.003207446,0.006140084,0.00593386,0.01732206,0.02681237,0.910735,0.0001192968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2733971,0.004647648,0.2491405,0.01690617,0.002677868,0.001404256,0.0006370358,0.002973408,0.4482161],"genre_scores_gemma":[0.5115375,0.01325973,0.2729656,0.00266293,0.0007114063,0.0008532968,0.0007385169,0.0003585793,0.1969124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03368917,"threshold_uncertainty_score":0.1127015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894885657464354,"score_gpt":0.3293232359553584,"score_spread":0.3103743793807149,"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."}}