{"id":"W4243695518","doi":"10.1016/j.aodf.2008.02.002","title":"Officers for 2008","year":2008,"lang":"en","type":"article","venue":"Alpha Omegan","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Political science; Law","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":[],"category_scores_codex":[0.0007339966,0.0008838704,0.000606854,0.001804166,0.002944671,0.003273552,0.0007843254,0.001592294,0.6748304],"category_scores_gemma":[0.003151749,0.0004159208,0.0003822281,0.0009625495,0.0003459974,0.001143228,0.002274153,0.002256317,0.5637481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214509,"about_ca_system_score_gemma":0.002525277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006736555,"about_ca_topic_score_gemma":0.02801422,"domain_scores_codex":[0.9993402,0.00005495277,0.00002335535,0.0000726846,0.0003074229,0.0002013218],"domain_scores_gemma":[0.998876,0.00008136866,0.0000593502,0.0001068592,0.0005256524,0.000350858],"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":[0.00003034457,0.00001047576,0.0001174954,0.00002537868,8.400597e-7,0.00001632206,0.00003166969,0.000008299865,0.00005352516,0.00107378,0.9832326,0.0153993],"study_design_scores_gemma":[0.00000650051,0.00001426491,0.00110474,0.00003405225,9.915058e-7,0.00001180598,0.00007818796,0.0000263161,0.00004591443,0.0002811123,0.9983938,0.000002260886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002330813,0.0008522514,0.0002248745,0.01083909,0.01081288,0.0002499835,0.006946857,0.0008760178,0.9668674],"genre_scores_gemma":[0.0008025359,0.00008524991,0.00002749195,0.0003132112,0.0001996496,0.00002039935,0.0004562392,0.00004236638,0.9980528],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6748304,"threshold_uncertainty_score":0.4638149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06094008998347186,"score_gpt":0.310018469612846,"score_spread":0.2490783796293741,"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."}}