{"id":"W4404149122","doi":"10.3849/cndcgs.2024.194","title":"Improvement in the Field of CBRN Prevention, Preparedness and Protection in the Czech Republic","year":2024,"lang":"en","type":"article","venue":"Challenges to national defence in a contemporary geopolitical situation","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Preparedness; Field (mathematics); Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004495069,0.000310195,0.0003318777,0.00179571,0.002019592,0.004807998,0.000921446,0.0009420656,0.003772788],"category_scores_gemma":[0.004790625,0.0002562421,0.0006618892,0.00126332,0.002348778,0.001985703,0.002888541,0.001717717,0.0005735671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006939821,"about_ca_system_score_gemma":0.02614509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04430718,"about_ca_topic_score_gemma":0.03285325,"domain_scores_codex":[0.9974371,0.000616254,0.000334599,0.0003071408,0.0007758292,0.0005290565],"domain_scores_gemma":[0.9972573,0.0006327316,0.0004357448,0.0002289599,0.0009744674,0.0004708834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000376516,0.0004441272,0.02701814,0.00470638,0.0001281944,0.002385253,0.006402343,0.01296753,0.008407298,0.3267864,0.03951374,0.5708641],"study_design_scores_gemma":[0.00007471769,0.0003506688,0.08996172,0.003264023,0.0001142355,0.00193427,0.008290648,0.004347904,0.006988113,0.02750289,0.8568878,0.0002830067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3415062,0.07750452,0.05100956,0.08323812,0.00501431,0.0007253081,0.000820631,0.001129149,0.4390522],"genre_scores_gemma":[0.9398007,0.01785323,0.01362784,0.003714836,0.0002114091,0.00008054332,0.0002706495,0.0001084214,0.02433244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04430718,"threshold_uncertainty_score":0.08809853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2793732495327794,"score_gpt":0.4959472357202395,"score_spread":0.2165739861874601,"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."}}