{"id":"W6990183564","doi":"","title":"Dec 18: Major Donna Riguidel. Survivor Perspectives (.com) CAF.","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Front line; Front (military); Participant observation; Qualitative research","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003507342,0.001004995,0.0004595595,0.0006965834,0.002128215,0.002345576,0.0007206361,0.001649723,0.9325028],"category_scores_gemma":[0.001607541,0.0005584582,0.0003424194,0.0007706173,0.0002681405,0.001956774,0.002090697,0.001661403,0.8401318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006894351,"about_ca_system_score_gemma":0.000683391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331247,"about_ca_topic_score_gemma":0.04737146,"domain_scores_codex":[0.9997854,0.00002867814,0.000005926862,0.00003041853,0.0000831305,0.00006649977],"domain_scores_gemma":[0.9990134,0.00008937283,0.00004033385,0.00004550113,0.0002613118,0.0005499652],"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":[0.00001443371,0.000008423925,0.00004034925,0.00002897287,4.384228e-7,0.00002158041,0.0000367463,0.000002992418,0.00004595859,0.00008576097,0.9908652,0.008849134],"study_design_scores_gemma":[0.000007044471,0.0000117706,0.0004417682,0.00005055518,0.000001078146,0.00003209465,0.0002269264,0.00001196822,0.0000500258,0.00004588016,0.9991168,0.00000407539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000556237,0.0004787343,0.0001962527,0.002180404,0.001080493,0.0001218562,0.003176734,0.002237575,0.9899718],"genre_scores_gemma":[0.001124841,0.0002546712,0.00008572276,0.0003287942,0.00009039246,0.00003408392,0.0005542635,0.0003449278,0.9971823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06749719,"threshold_uncertainty_score":0.09627658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008773332456862588,"score_gpt":0.2060397508249975,"score_spread":0.1972664183681349,"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."}}