{"id":"W4229060288","doi":"10.3138/jmvfh-2021-0113","title":"Understanding risk and protective factors of injuries: Insights from Canadian recruits during basic military training","year":2022,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Training (meteorology); Apprehension; Military personnel; Population; Military medicine; Medicine; Injury prevention; Psychology; Suicide prevention; Poison control; Physical therapy; Gerontology; Environmental health; Geography","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":[0.001474241,0.0003766937,0.0003871518,0.002023931,0.006250132,0.001618248,0.001119425,0.0007396804,0.003349714],"category_scores_gemma":[0.003851538,0.0003708581,0.0006068497,0.003646903,0.0009090984,0.0007532556,0.001362987,0.001300964,0.0002876302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02284856,"about_ca_system_score_gemma":0.04834313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99275,"about_ca_topic_score_gemma":0.9969259,"domain_scores_codex":[0.9989527,0.00007458784,0.00004673373,0.0000815259,0.0003852372,0.0004592148],"domain_scores_gemma":[0.998338,0.0001761511,0.0002901102,0.00003338023,0.0007327581,0.0004295011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005508172,0.0001383744,0.927722,0.0001626049,0.00003782968,0.0002625763,0.04833981,0.00008814919,0.0002643925,0.0004453143,0.00375977,0.01872412],"study_design_scores_gemma":[0.000005614004,0.00003692586,0.9261869,0.0001880198,0.00002028409,0.00008089175,0.06905969,0.0001284923,0.00003188647,0.0000813516,0.004158125,0.00002179228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890598,0.0009225628,0.0001035837,0.002182562,0.00002594417,0.00008513145,0.001346359,0.000002879979,0.006271142],"genre_scores_gemma":[0.9938726,0.002545635,0.0003342434,0.0007104481,0.0000171974,0.00004709277,0.0008838779,0.000003852757,0.001585106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02284856,"threshold_uncertainty_score":0.1657787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793241524722141,"score_gpt":0.3700072855749937,"score_spread":0.1906831331027797,"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."}}