{"id":"W4281675702","doi":"10.3390/ijerph19127046","title":"Validation of a Speech Database for Assessing College Students’ Physical Competence under the Concept of Physical Literacy","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Competence (human resources); Support vector machine; Artificial intelligence; Speech recognition; Natural language processing; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002776182,0.00006750759,0.0002013103,0.0002139803,0.0002062829,0.0001562236,0.001056742,0.00001015904,0.00002604378],"category_scores_gemma":[0.0001265969,0.0000531114,0.00007849799,0.0001908569,0.0002033086,0.001014836,0.0006735708,0.0003220442,6.579949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073412,"about_ca_system_score_gemma":0.0004037709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004250677,"about_ca_topic_score_gemma":0.000001290348,"domain_scores_codex":[0.9964235,0.0007041143,0.0003950093,0.0001614844,0.002116148,0.0001997839],"domain_scores_gemma":[0.9973949,0.001580306,0.000478848,0.0001621643,0.0002467921,0.0001370139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005460582,0.01666274,0.01743681,0.0001645233,0.0009362193,0.00007697511,0.02748452,0.0003944666,0.06405576,0.04481189,0.002925518,0.8245045],"study_design_scores_gemma":[0.03629496,0.03408131,0.2806336,0.001954738,0.00008217647,0.004603218,0.1450935,0.218962,0.09551174,0.05106128,0.1297279,0.001993479],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960192,0.0001267391,0.03271753,0.006092728,0.000171153,0.0002883227,0.0003815008,0.000002573899,0.00002749473],"genre_scores_gemma":[0.9990085,0.00002399575,0.0005948981,0.000132754,0.0001750009,0.00001517892,0.00002061538,0.000004967386,0.000024068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.822511,"threshold_uncertainty_score":0.216582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151668899670334,"score_gpt":0.4437857382426296,"score_spread":0.3286188482755962,"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."}}