{"id":"W7133091143","doi":"","title":"Examining Body Surveillance and Motor Adaptation through Biometric Sensors","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Arousal; Trait; Valence (chemistry); Distress; Facial expression; Body posture; Cognition","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":[0.00064446,0.0003305105,0.0002377513,0.0002549814,0.0002189923,0.0005171719,0.0001956598,0.0003416528,0.002344847],"category_scores_gemma":[0.002229024,0.0001601724,0.000238678,0.000218529,0.0002702745,0.0003281626,0.0004768283,0.0003453004,0.0003853736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447707,"about_ca_system_score_gemma":0.0001973543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008331232,"about_ca_topic_score_gemma":0.001872786,"domain_scores_codex":[0.9994749,0.0001374328,0.00003817852,0.0001354898,0.0001560451,0.0000579614],"domain_scores_gemma":[0.9988979,0.0002758761,0.0004945999,0.00007741633,0.0001628057,0.00009139742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002502032,0.002638612,0.7576717,0.0004526972,0.0002778198,0.0002106962,0.001864496,0.001046424,0.1425476,0.0003857469,0.0007470351,0.08965516],"study_design_scores_gemma":[0.00001255273,0.002135078,0.9911049,0.0000163431,0.00003995442,0.00009003704,0.0002876471,0.0007848277,0.004998832,0.00007579044,0.0004410231,0.00001296953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955622,0.0001190699,0.002637334,0.00003327799,0.00001095446,0.00007910244,0.0002310926,0.00001921507,0.00130791],"genre_scores_gemma":[0.9956197,0.0001221643,0.002797243,0.00003968399,0.00001251033,0.0001675472,0.0002442258,0.000006286229,0.0009907176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002344847,"threshold_uncertainty_score":0.007844269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07048244954437172,"score_gpt":0.3960216570104875,"score_spread":0.3255392074661158,"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."}}