{"id":"W1840485202","doi":"10.3138/ijih.v3i1.28948","title":"From Woundedness to Resilience","year":2006,"lang":"en","type":"article","venue":"International Journal of Indigenous Health","topic":"Resilience and Mental Health","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Resilience (materials science); Environmental science; Environmental resource management; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005329176,0.0001060686,0.0002231883,0.0002896854,0.0001209661,0.00004507115,0.0006752341,0.00005487002,0.0003534668],"category_scores_gemma":[0.0000177481,0.00009320437,0.00007560993,0.0001532157,0.000036794,0.000142385,0.0000301396,0.0002208637,0.0003019117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006322077,"about_ca_system_score_gemma":0.0007733758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649749,"about_ca_topic_score_gemma":0.001511495,"domain_scores_codex":[0.9979149,0.0001058632,0.0007576577,0.0001810799,0.0006641865,0.000376309],"domain_scores_gemma":[0.9987037,0.00008688658,0.0005226558,0.0001612298,0.000274582,0.0002509836],"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":[0.002230247,0.003000378,0.1243215,0.00002950087,0.0003555352,0.001549285,0.1009599,0.000851905,0.001605736,0.01094688,0.08472152,0.6694276],"study_design_scores_gemma":[0.00308248,0.003131215,0.7992612,0.0004767682,0.00001874293,0.001912201,0.01358458,0.000008107279,0.001389045,0.0147375,0.1619045,0.000493579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824892,0.0008603985,0.003028878,0.003731886,0.004848479,0.0001919354,0.00004249912,0.00001356145,0.004793131],"genre_scores_gemma":[0.9916718,0.00006612253,0.001393544,0.003854351,0.001845466,0.000004323736,0.00001108176,0.00001325672,0.001140037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6749398,"threshold_uncertainty_score":0.9799851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701627356086631,"score_gpt":0.4128913085303251,"score_spread":0.3958750349694588,"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."}}