{"id":"W1991904504","doi":"10.4236/psych.2014.51010","title":"An Exploratory Analysis of the Correlates of Risk-Taking Propensity in Canadian Military Personnel","year":2014,"lang":"en","type":"article","venue":"Psychology","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Department of National Defence","funders":"U.S. Army Aeromedical Research Laboratory; Ministère de la Défense Nationale; University of Cambridge","keywords":"Propensity score matching; Psychology; Recreation; Occupational safety and health; Environmental health; Military personnel; Suicide prevention; Injury prevention; Human factors and ergonomics; Poison control; Risk assessment; Demography; Gerontology; Medicine; Computer security; Geography; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001475926,0.0004252736,0.0003181193,0.002952252,0.00317551,0.0009569898,0.001096764,0.0003793254,0.006456943],"category_scores_gemma":[0.007516715,0.0002592109,0.0008335404,0.005563827,0.0006417765,0.0003622472,0.001173523,0.0004185477,0.000404963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637791,"about_ca_system_score_gemma":0.02758018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830153,"about_ca_topic_score_gemma":0.9846311,"domain_scores_codex":[0.9989145,0.0001275992,0.0000509682,0.000104572,0.0004835497,0.0003187804],"domain_scores_gemma":[0.9971392,0.0003335441,0.0003225263,0.000104256,0.001764223,0.00033628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008857616,0.0000373356,0.9621228,0.00008780902,0.00004456965,0.0001565305,0.008500109,0.0001160971,0.0003166274,0.0005592476,0.004179344,0.02379099],"study_design_scores_gemma":[0.000002595019,0.00002352027,0.9936507,0.00002183289,0.000009986375,0.00003547984,0.003660474,0.0001856479,0.00003707852,0.00002458787,0.002337374,0.00001075829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885222,0.0003367428,0.0003816327,0.0005947601,0.00003432962,0.0001714279,0.004314865,0.00001818802,0.005625793],"genre_scores_gemma":[0.9919736,0.0004529632,0.0008810279,0.00011556,0.00001866232,0.0001249312,0.00233804,0.0000123689,0.004082822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169847,"threshold_uncertainty_score":0.1188306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03329681956807356,"score_gpt":0.311659509220273,"score_spread":0.2783626896521995,"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."}}