{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005865862,0.0003279587,0.0002936356,0.001544771,0.004316054,0.001173371,0.0005764903,0.001408009,0.02638607],"category_scores_gemma":[0.003664426,0.000404272,0.0003061406,0.0007126834,0.001256967,0.0009617497,0.0009859618,0.002630938,0.00240617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006849647,"about_ca_system_score_gemma":0.01384133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6317512,"about_ca_topic_score_gemma":0.7346851,"domain_scores_codex":[0.9993975,0.00009768032,0.00004812785,0.00004901287,0.0001516233,0.0002560454],"domain_scores_gemma":[0.9976659,0.0002026781,0.0001190693,0.00003389366,0.0007248291,0.001253598],"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":[0.0002267625,0.0002126422,0.2976931,0.0003337943,0.00006557986,0.0163126,0.01194824,0.0004784045,0.001417301,0.006641418,0.5838867,0.08078337],"study_design_scores_gemma":[0.00004802783,0.0002813625,0.4539218,0.001589879,0.00008040662,0.01872957,0.05869248,0.0004808276,0.001185422,0.002357516,0.4623971,0.0002355054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2542067,0.03329342,0.0009612645,0.610462,0.01433802,0.0002697835,0.001288516,0.0001019452,0.08507843],"genre_scores_gemma":[0.6107,0.05707305,0.001202875,0.06291432,0.004405377,0.00008761822,0.0004089612,0.0001062032,0.2631017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3682488,"threshold_uncertainty_score":0.7408349,"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."}}