{"id":"W4230494433","doi":"10.1037/e623882012-001","title":"Life after Service Studies (LASS) How are Canadian Forces personnel doing after transition to civilian life?","year":2010,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Transition (genetics); Service life; Business; Operations management; Engineering; Marketing; Chemistry; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883518,0.001124625,0.001018101,0.006296283,0.002407037,0.003219095,0.002858058,0.00157462,0.0303293],"category_scores_gemma":[0.01620308,0.0004776849,0.001291987,0.01444736,0.000655706,0.001260675,0.002288267,0.002119101,0.0132494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01328469,"about_ca_system_score_gemma":0.02893617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9020222,"about_ca_topic_score_gemma":0.9572946,"domain_scores_codex":[0.9982749,0.0001675537,0.0002230438,0.0002631418,0.0005461012,0.0005252539],"domain_scores_gemma":[0.9900057,0.001173181,0.001327473,0.001120696,0.005243771,0.001129285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008324911,0.00002387808,0.02252815,0.0005297859,0.00005649707,0.00004019736,0.0001801131,0.0001529011,0.00003679309,0.001371032,0.9704901,0.004507305],"study_design_scores_gemma":[0.0001420826,0.00002187478,0.1909774,0.0008570682,0.00009146778,0.0000757636,0.001041945,0.0003976868,0.0002407053,0.001038238,0.8050441,0.00007159444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0013226,0.0002439898,0.00005083029,0.0004251264,0.00004520159,0.00003052571,0.9957454,0.00006165946,0.002074679],"genre_scores_gemma":[0.005148528,0.0002966498,0.0003008022,0.0002003781,0.00002680694,0.0001967931,0.9887927,0.0000289217,0.005008314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09797782,"threshold_uncertainty_score":0.1971096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198717660749447,"score_gpt":0.2578389825754374,"score_spread":0.2158518059679429,"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."}}