{"id":"W4390650836","doi":"10.23977/aetp.2023.071816","title":"Reform of Early Childhood Physical Education Development Based on Big Data Technology","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Early childhood education; Early childhood; Physical education; Data science; Psychology; Mathematics education; Computer science; Developmental psychology; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002899668,0.0003352293,0.0003440883,0.001623355,0.0008033526,0.001678917,0.0007838342,0.0004409266,0.001133385],"category_scores_gemma":[0.007655247,0.0001961871,0.0005055997,0.001510804,0.0006105173,0.002150166,0.00153201,0.0008562041,0.0001932003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672747,"about_ca_system_score_gemma":0.007392745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008933824,"about_ca_topic_score_gemma":0.009651643,"domain_scores_codex":[0.9972014,0.001307144,0.0002090838,0.00028023,0.0007196033,0.000282562],"domain_scores_gemma":[0.9973251,0.0009310255,0.0002796104,0.0002422124,0.0008701672,0.0003518999],"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":[0.0002246492,0.00132766,0.1336244,0.00130666,0.0001538088,0.0003055768,0.003824004,0.01440879,0.005913417,0.0622822,0.01884861,0.7577803],"study_design_scores_gemma":[0.0003944584,0.001516748,0.4813904,0.00198041,0.0005051853,0.0005533611,0.020888,0.1876477,0.03036961,0.06668119,0.2078221,0.0002507468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5978944,0.007211013,0.3113209,0.03442178,0.0009662703,0.001874762,0.001609122,0.001380377,0.04332134],"genre_scores_gemma":[0.8749881,0.004015976,0.1152156,0.00110639,0.0001262013,0.0005631404,0.0007406385,0.00003506625,0.003208891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008933824,"threshold_uncertainty_score":0.01776361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03088165156214785,"score_gpt":0.3417611865948716,"score_spread":0.3108795350327238,"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."}}