{"id":"W7097149536","doi":"","title":"A Lessons Learned Knowledge Warehouse to Support the Army Knowledge","year":2003,"lang":"en","type":"article","venue":"","topic":"Military Strategy and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workspace; Process (computing); Focus (optics); Identification (biology); Data warehouse; Order (exchange); Action (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001984809,0.0001578124,0.000146328,0.00009164874,0.00009402428,0.00001287026,0.0002561145,0.0001258964,0.001111207],"category_scores_gemma":[0.00005285623,0.0001137756,0.0000567795,0.0003427894,0.00004685994,0.00004902228,0.00003405675,0.0002537875,0.003044133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289994,"about_ca_system_score_gemma":0.00004250996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009393051,"about_ca_topic_score_gemma":0.0006695401,"domain_scores_codex":[0.9992221,0.00003753363,0.000160181,0.0001887387,0.0000437873,0.0003476552],"domain_scores_gemma":[0.9993776,0.00006967007,0.000006010096,0.0004293137,0.00002831201,0.00008910536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001215685,0.0002427024,0.0004223672,0.0001003435,0.0001711077,0.00003119188,0.004245941,0.003099025,0.003139944,0.6835806,0.2078374,0.09711719],"study_design_scores_gemma":[0.0002584101,0.0001172091,0.0003583838,0.000007082913,0.00001515454,0.00002610952,0.0005500483,0.0009233023,0.01293589,0.003912403,0.980628,0.0002680463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1019168,0.00130924,0.006984505,0.001121249,0.0005974314,0.0003339975,0.000007497481,0.001866687,0.8858626],"genre_scores_gemma":[0.9870359,0.00006648295,0.000416269,0.00006878208,0.00003118115,0.0000447532,0.000002220333,0.00003211923,0.01230226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8851191,"threshold_uncertainty_score":0.9998019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0497289006965567,"score_gpt":0.2951979143404155,"score_spread":0.2454690136438588,"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."}}