{"id":"W7035987659","doi":"","title":"Active Shooter 101 (26 HQ PDFs &amp; 20 HD Videos)","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service (business); Active monitoring; Summit; Event (particle physics); Poison control; Fire investigation","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000592471,0.001255728,0.0008230856,0.001916328,0.001155771,0.00357244,0.00171907,0.001282388,0.9450599],"category_scores_gemma":[0.004040324,0.0007841797,0.0005806584,0.00212328,0.0003318062,0.003714747,0.002909586,0.00165402,0.8670402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006311508,"about_ca_system_score_gemma":0.0008507281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948615,"about_ca_topic_score_gemma":0.004678679,"domain_scores_codex":[0.9996153,0.00004667468,0.00002038043,0.00006069706,0.0001881517,0.00006874567],"domain_scores_gemma":[0.9974895,0.0004724101,0.00009811063,0.0003629279,0.001034706,0.0005424086],"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":[0.00003270787,0.00002246177,0.00002695227,0.00007323089,0.000001014203,0.00001268168,0.00001978065,0.00002308483,0.0001270332,0.0002252506,0.9746626,0.02477317],"study_design_scores_gemma":[0.00004539502,0.00005169212,0.0007162112,0.00009100923,0.000002689644,0.00007237498,0.0001045242,0.0001199116,0.0003072617,0.0005137023,0.9979628,0.00001235406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008581845,0.0003081837,0.0047362,0.0009438275,0.001724987,0.0007961171,0.05003898,0.03034742,0.910246],"genre_scores_gemma":[0.003187757,0.0003379392,0.002997218,0.0007886642,0.0005835284,0.0004781641,0.02846803,0.008612237,0.9545465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0549401,"threshold_uncertainty_score":0.07836533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010201540218967,"score_gpt":0.2172484793795219,"score_spread":0.2071464639773323,"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."}}