{"id":"W2002228937","doi":"10.1016/j.tox.2006.08.034","title":"Medical countermeasures to WMDs: Defence research for civilian and military use","year":2006,"lang":"en","type":"article","venue":"Toxicology","topic":"Hemoglobin structure and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Response Biomedical (Canada)","funders":"","keywords":"Biological warfare; Preparedness; Chemical warfare; Terrorism; Chemical Warfare Agents; Identification (biology); Computer security; Lethality; Mass-casualty incident; Political science; Business; Poison control; Medicine; Medical emergency; Suicide prevention; Engineering; Computer science; Law; Toxicology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002389319,0.0007150678,0.0005129569,0.001156122,0.0007200502,0.001597457,0.000970134,0.001710066,0.0077626],"category_scores_gemma":[0.003866293,0.0001468793,0.0003831292,0.0009361423,0.001250484,0.001519657,0.0007239118,0.001193981,0.0007418544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610332,"about_ca_system_score_gemma":0.004865078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049134,"about_ca_topic_score_gemma":0.005092964,"domain_scores_codex":[0.9994205,0.0002570985,0.00003348872,0.00006238909,0.0001446774,0.0000819269],"domain_scores_gemma":[0.9974409,0.0006764552,0.0005923553,0.0001274566,0.0007847271,0.0003780048],"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":[0.0008019253,0.0005252678,0.02727082,0.001562871,0.0001473131,0.0004019724,0.00035353,0.001071313,0.0236637,0.0265147,0.02598845,0.8916981],"study_design_scores_gemma":[0.0002623285,0.006118744,0.1613532,0.005905621,0.0006682803,0.003457788,0.008242588,0.004729406,0.03388581,0.07230531,0.7029411,0.0001298777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1198051,0.6384532,0.00948226,0.1887204,0.0047788,0.0001598864,0.0005803939,0.0001819039,0.03783796],"genre_scores_gemma":[0.5402774,0.4045813,0.01039944,0.01816265,0.005429151,0.0001192275,0.0003919497,0.00004244982,0.0205964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0077626,"threshold_uncertainty_score":0.02596849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580695504553581,"score_gpt":0.3386048852032997,"score_spread":0.3027979301577639,"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."}}