{"id":"W4380266484","doi":"10.23977/acss.2023.070411","title":"Application of Wearable Technology and Equipment in Sports","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Wearable computer; Popularity; Entertainment; Wearable technology; Computer science; Process (computing); Function (biology); Service (business); Intellectualization; Human–computer interaction; Multimedia; Embedded system; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002756757,0.00006930387,0.000175693,0.0008319431,0.0000327594,0.00002266259,0.00008507031,0.00006590515,0.00000119218],"category_scores_gemma":[0.000005177901,0.00006538355,0.000007091717,0.001351637,0.00007048871,0.000320637,0.0001154988,0.00006923673,0.000004655944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000557057,"about_ca_system_score_gemma":0.000002801127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105473,"about_ca_topic_score_gemma":0.0000474304,"domain_scores_codex":[0.9993505,0.000003596532,0.0002757842,0.0001721041,0.00006982678,0.0001282116],"domain_scores_gemma":[0.9996995,0.00002701193,0.0001199598,0.000114623,0.00003622531,0.000002649607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004132703,0.000038232,0.7010395,0.0003403181,0.000004630497,0.00001022443,0.00003550839,0.002336541,0.0004639435,0.1207094,0.00007420537,0.1749434],"study_design_scores_gemma":[0.001911173,0.0000802817,0.1556664,0.001834939,0.00001894642,0.00002035904,0.001659395,0.6137881,0.0002314651,0.1525698,0.07157874,0.0006402874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774499,0.003400408,0.0167087,0.001021809,0.0001909777,0.0003271044,7.162739e-7,0.0001163191,0.0007840542],"genre_scores_gemma":[0.9991621,0.0004022853,0.0002149971,0.00007862475,0.00006077258,0.00005848031,0.000003502205,0.0000052216,0.00001397709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6114516,"threshold_uncertainty_score":0.2666264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330098557349336,"score_gpt":0.252410483633157,"score_spread":0.2391094980596637,"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."}}