{"id":"W2750691521","doi":"10.36510/learnland.v10i2.813","title":"smartEducation: Developing Stress Management and Resiliency Techniques","year":2017,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mindfulness; Variety (cybernetics); Stress management; Medical education; Psychological resilience; Psychology; Curriculum; Professional development; Resilience (materials science); Face (sociological concept); Pedagogy; Applied psychology; Medicine; Clinical psychology; Psychotherapist; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001242187,0.0003306476,0.0001734406,0.0006368725,0.0006360748,0.001070098,0.0008759437,0.0003160657,0.003578313],"category_scores_gemma":[0.001735612,0.0001676718,0.0003392526,0.0002890344,0.0007918843,0.0009219412,0.001983161,0.0009165574,0.0006050775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933583,"about_ca_system_score_gemma":0.002228783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001701207,"about_ca_topic_score_gemma":0.005553405,"domain_scores_codex":[0.9995992,0.0001147408,0.00001339147,0.00006075069,0.0001352747,0.00007675456],"domain_scores_gemma":[0.9995285,0.0002283396,0.00003178202,0.00004960573,0.00004258343,0.0001191723],"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":[0.00005123568,0.002376458,0.003938918,0.0003819519,0.00002227843,0.0002285619,0.01158307,0.0005952556,0.01511774,0.005100418,0.009156427,0.9514477],"study_design_scores_gemma":[0.000867155,0.00829434,0.1729885,0.003328142,0.0004340862,0.007437485,0.04484776,0.01665612,0.06219628,0.06289279,0.6197441,0.0003133818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7012047,0.002242365,0.2062582,0.005860231,0.0003013434,0.002732026,0.0001688093,0.002685441,0.07854696],"genre_scores_gemma":[0.5757704,0.003615287,0.3976575,0.001020261,0.00006255157,0.001478805,0.0002675744,0.0002038417,0.01992394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003578313,"threshold_uncertainty_score":0.01197064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903875021491111,"score_gpt":0.3942769864106134,"score_spread":0.3552382361957023,"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."}}