{"id":"W4408904386","doi":"10.1038/s41598-025-95491-z","title":"The curriculum planning and implementation for mindfulness education and diversified humanism based on big data","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Mindfulness; Curriculum; Humanism; Big data; Computer science; Data science; Medical education; Engineering ethics; Medicine; Psychology; Political science; Data mining; Pedagogy; Psychotherapist; Engineering","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":[0.01040546,0.0004739752,0.0003849653,0.001375824,0.0009962887,0.0015006,0.001540067,0.0006786683,0.001723826],"category_scores_gemma":[0.0100386,0.0003877255,0.0007622794,0.0008674237,0.0007018734,0.001884364,0.002370223,0.001689987,0.000321118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857736,"about_ca_system_score_gemma":0.01549458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813669,"about_ca_topic_score_gemma":0.004430876,"domain_scores_codex":[0.9969802,0.001579173,0.0002083806,0.000301601,0.0005827717,0.0003479407],"domain_scores_gemma":[0.9938985,0.00212475,0.0006736906,0.000616764,0.001126574,0.001559677],"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":[0.000372644,0.005564442,0.01844495,0.003028462,0.0001203249,0.0001973676,0.006570988,0.006152551,0.0158363,0.0172075,0.01229373,0.9142106],"study_design_scores_gemma":[0.002010759,0.01066829,0.3317467,0.01565967,0.0007449873,0.001364069,0.02543091,0.08973514,0.08020789,0.1357999,0.3060099,0.0006218556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3434746,0.002597174,0.5852948,0.02311404,0.001032814,0.02394281,0.0006482234,0.002386363,0.01750909],"genre_scores_gemma":[0.2944318,0.001454083,0.6886618,0.001184835,0.00009998575,0.01177546,0.0004134327,0.00008789789,0.001890683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01040546,"threshold_uncertainty_score":0.05502993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485168935217241,"score_gpt":0.3726090266967036,"score_spread":0.3177573373445313,"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."}}