{"id":"W2368464018","doi":"","title":"Enhancing Mental Resilience Training in the Canadian Armed Forces: Combining Mobile Learning in Support of Classroom-based Learning","year":2016,"lang":"en","type":"article","venue":"Global Learn","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Training (meteorology); Psychology; Computer science; Applied psychology; Geography","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":[0.001580095,0.0001805703,0.0002926802,0.0001902311,0.0002356262,0.00002552631,0.0003903103,0.0001476756,0.0004026318],"category_scores_gemma":[0.0001567059,0.0001315912,0.00006838933,0.0005928163,0.0001890724,0.0001462463,0.00003028855,0.0004784866,0.0001219426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643392,"about_ca_system_score_gemma":0.0007991374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07091501,"about_ca_topic_score_gemma":0.3507547,"domain_scores_codex":[0.9972057,0.0005343424,0.0005281411,0.0004193459,0.000358405,0.0009540798],"domain_scores_gemma":[0.9991442,0.0002474284,0.0001774195,0.0002268719,0.00002633516,0.0001777508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002550927,0.0001280753,0.717398,0.00004242142,0.00001086963,0.0001686162,0.03319321,0.001349226,0.002662679,0.002508265,0.000332651,0.2419508],"study_design_scores_gemma":[0.01064108,0.005440209,0.5609044,0.001567955,0.0000306692,0.000218387,0.2384748,0.0006360127,0.00224855,0.000753988,0.1778382,0.001245765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945121,0.0001420126,0.00007687063,0.0004816184,0.0002622576,0.0004494242,0.00001020354,0.00003252333,0.05342406],"genre_scores_gemma":[0.9980395,0.0000160532,0.00008063338,0.0006120218,0.00002948669,0.00007939764,0.00001242349,0.00001416821,0.00111632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2798397,"threshold_uncertainty_score":0.9352719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057857555554824,"score_gpt":0.3457243400418656,"score_spread":0.3251457644863173,"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."}}