{"id":"W2917067050","doi":"10.1177/0022343309339112","title":"Armed Conflicts, 1946—2008","year":2009,"lang":"en","type":"article","venue":"Journal of Peace Research","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Armed conflict; Battle; Quarter (Canadian coin); Political science; Computer security; Geography; History; Law; Ancient history; Computer science; Archaeology","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":[0.000419875,0.0002429582,0.0001167759,0.001798584,0.001578068,0.0009955643,0.0003337796,0.0004945339,0.01519218],"category_scores_gemma":[0.002055613,0.0001258275,0.0001698972,0.002616915,0.000461563,0.0007193571,0.001085961,0.001034608,0.002429062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961389,"about_ca_system_score_gemma":0.001078732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02532116,"about_ca_topic_score_gemma":0.05146161,"domain_scores_codex":[0.9996485,0.00006514345,0.00003936602,0.00003730208,0.00009703811,0.0001127902],"domain_scores_gemma":[0.9993789,0.00008198164,0.0002224526,0.00002426856,0.0001694119,0.00012294],"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":[0.0003355638,0.0001903746,0.2377289,0.0006370512,0.00008514924,0.001516517,0.01210871,0.0006320171,0.0004980056,0.02126209,0.3997334,0.3252724],"study_design_scores_gemma":[0.00001340785,0.0000414536,0.3250535,0.0002894189,0.000007154747,0.0008478782,0.004726281,0.00009181959,0.0001491618,0.0009810922,0.6677841,0.00001461134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5186057,0.03716214,0.0007463239,0.02431763,0.003577142,0.0002097621,0.02228635,0.0001006987,0.3929943],"genre_scores_gemma":[0.8809528,0.01519086,0.000786145,0.003235458,0.001854301,0.0002008146,0.008019052,0.00003740437,0.08972321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532116,"threshold_uncertainty_score":0.05082291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.438949750388082,"score_gpt":0.6477392065093313,"score_spread":0.2087894561212493,"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."}}