{"id":"W1603309950","doi":"","title":"Brigadier J.K. Lawson and Command of “C” Force at Hong Kong","year":2011,"lang":"en","type":"article","venue":"Canadian military history","topic":"Trauma Management and Diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Psychology; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009262763,0.0001036516,0.0001966565,0.0002046979,0.00005701053,3.585972e-7,0.00006329358,0.00006255727,0.001284492],"category_scores_gemma":[0.0000217582,0.0001106272,0.00005503715,0.00004704858,0.0002105479,0.00007679308,0.00002076698,0.00007428315,0.00002769245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006779572,"about_ca_system_score_gemma":0.0001294104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.177328,"about_ca_topic_score_gemma":0.4832796,"domain_scores_codex":[0.9993432,0.00001646024,0.0001478106,0.0001859523,0.0000832879,0.0002233029],"domain_scores_gemma":[0.9992156,0.00002212915,0.00002287246,0.0002684583,0.00003034211,0.0004405748],"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":[0.0001314075,0.0000564065,0.4751823,0.000344258,0.0001053477,0.0002971243,0.004878268,3.943242e-7,0.0002079542,0.001018424,0.5124038,0.005374281],"study_design_scores_gemma":[0.0007093668,0.0001504863,0.6628121,0.00006663918,0.0001132902,0.00001293897,0.0001988842,0.00001921186,0.0001210739,0.00007330293,0.3355889,0.0001338006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279641,0.02904277,0.000002315951,0.0001793197,0.0002127827,0.000212268,0.0000148838,0.00001978991,0.1423518],"genre_scores_gemma":[0.9771281,0.0003332003,0.0002538567,0.001170498,0.00004024365,0.000008370095,0.00002334913,0.00001832093,0.02102401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3059517,"threshold_uncertainty_score":0.9996285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939591425780842,"score_gpt":0.185943684575094,"score_spread":0.1465477703172856,"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."}}