{"id":"W2508205926","doi":"10.1002/9781119045144.ch8","title":"Sport and technology","year":2016,"lang":"en","type":"other","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Kinematics; Wearable computer; Computer science; Motion analysis; Athletes; Tracking (education); Focus (optics); Sports biomechanics; Simulation; Competition (biology); Engineering; Human–computer interaction; Multimedia; Artificial intelligence; Embedded system","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":[0.001100926,0.0009099568,0.0005542905,0.002246862,0.001928797,0.01056348,0.001139274,0.001651526,0.2090975],"category_scores_gemma":[0.002114995,0.0001954129,0.0003668395,0.002849136,0.001849083,0.003724754,0.004329421,0.001223334,0.09445982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719655,"about_ca_system_score_gemma":0.003236841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158619,"about_ca_topic_score_gemma":0.00395515,"domain_scores_codex":[0.998291,0.0002667743,0.0001521689,0.0002757736,0.0008329112,0.0001814217],"domain_scores_gemma":[0.9991381,0.00008576469,0.00005701316,0.0001496269,0.0003116828,0.0002576647],"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":[0.0000514949,0.00007669425,0.001181264,0.0007469537,0.00002169995,0.0002046441,0.001049642,0.0002466855,0.001072561,0.2075822,0.3083879,0.4793783],"study_design_scores_gemma":[0.000002079496,0.00001991156,0.0004443742,0.000183659,0.000002146834,0.0001571546,0.0002409721,0.00003185211,0.00006093851,0.009143993,0.9897092,0.000003832223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001204642,0.009919777,0.003064949,0.00515792,0.004343649,0.0001102635,0.0005027378,0.0002040679,0.9754919],"genre_scores_gemma":[0.01713079,0.01473311,0.003528458,0.00260546,0.001648521,0.000135317,0.0008348706,0.0001701833,0.9592132],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2090975,"threshold_uncertainty_score":0.699501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003540078833483961,"score_gpt":0.1921526732256693,"score_spread":0.1886125943921853,"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."}}