{"id":"W4232939564","doi":"10.3138/jmvfh.5.1.001","title":"Introduction","year":2019,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001371722,0.0005136119,0.0002688461,0.0008934422,0.00126413,0.002581455,0.001310133,0.001359771,0.4055891],"category_scores_gemma":[0.005285078,0.0001533932,0.0004407993,0.0006452017,0.0005840286,0.001268135,0.001923684,0.00133842,0.1861442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215364,"about_ca_system_score_gemma":0.003478604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542436,"about_ca_topic_score_gemma":0.004591865,"domain_scores_codex":[0.9989327,0.00018452,0.00004302595,0.0002221525,0.0004281556,0.00018958],"domain_scores_gemma":[0.9977856,0.0003053508,0.0001164646,0.0001813473,0.001019167,0.0005921232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000109097,0.0001435677,0.003709754,0.0003563637,0.000007939617,0.0004699228,0.0005581838,0.00008247056,0.0005987473,0.02597277,0.6521844,0.3158068],"study_design_scores_gemma":[0.000009449688,0.00003940646,0.001705491,0.0002817627,0.000004286979,0.0004474889,0.000348772,0.00002990501,0.0001898593,0.002843223,0.9940931,0.000007178236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0076575,0.003925807,0.007718325,0.02831984,0.01207027,0.0004692772,0.005449604,0.001161931,0.9332275],"genre_scores_gemma":[0.03812879,0.004117868,0.005318994,0.02092018,0.002913061,0.0004829034,0.004738611,0.0004051889,0.9229744],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5944109,"threshold_uncertainty_score":0.847855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870315922538919,"score_gpt":0.2805918472731475,"score_spread":0.2618886880477583,"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."}}