{"id":"W4389376588","doi":"10.3138/jmvfh-2023-0025","title":"An application of the biopsychosocial model for pain in Canadian Veterans Life After Service Studies 2019 survey","year":2023,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Veterans Affairs Canada","funders":"","keywords":"Biopsychosocial model; Psychosocial; Chronic pain; Structural equation modeling; Latent variable; Medicine; Physical therapy; Clinical psychology; Psychology; Psychiatry; Statistics; Mathematics","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":[0.003383534,0.0004016284,0.0003898972,0.001674969,0.002878165,0.0009911569,0.001447505,0.0003615241,0.004394447],"category_scores_gemma":[0.00734638,0.0002618056,0.0009781398,0.003537799,0.0003671612,0.0004254892,0.0009535893,0.0007328332,0.0002527078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03268271,"about_ca_system_score_gemma":0.05436632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934211,"about_ca_topic_score_gemma":0.9950976,"domain_scores_codex":[0.9987669,0.0003685437,0.00007203485,0.00009308499,0.000405519,0.0002939486],"domain_scores_gemma":[0.998252,0.000225677,0.0001416536,0.00007746062,0.00110104,0.0002022668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009605532,0.0002437305,0.9169983,0.0002623532,0.0001643346,0.0001206159,0.004563509,0.001974123,0.0001647531,0.003733906,0.02060886,0.05106943],"study_design_scores_gemma":[0.00003317139,0.00006681667,0.9748685,0.0001958452,0.00007383732,0.00003903814,0.006701747,0.008604975,0.00006226212,0.0006156251,0.008702764,0.00003537554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436198,0.0009907953,0.003108109,0.004396793,0.0001251787,0.002261817,0.02960987,0.00008141215,0.01580602],"genre_scores_gemma":[0.9803783,0.0009591581,0.005828194,0.0002826583,0.00002332903,0.0007988335,0.008932603,0.00001168733,0.002785151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03268271,"threshold_uncertainty_score":0.2371307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527053794053559,"score_gpt":0.3621640210224499,"score_spread":0.3168934830819143,"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."}}