{"id":"W4398979860","doi":"10.7910/dvn/vuhdgw","title":"NATO Gender Guidelines Dataset NGGD","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","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":[0.001617246,0.001004225,0.0007346929,0.003883942,0.001141447,0.001910263,0.001827413,0.001708928,0.05677613],"category_scores_gemma":[0.009615622,0.000469802,0.0006986248,0.007686259,0.000501428,0.001097124,0.002285262,0.001651807,0.04134334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200413,"about_ca_system_score_gemma":0.003721604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0403391,"about_ca_topic_score_gemma":0.09080032,"domain_scores_codex":[0.9984208,0.0004526527,0.0002519899,0.0002743619,0.0004016051,0.0001986616],"domain_scores_gemma":[0.9960699,0.001482393,0.000379977,0.0006194906,0.001103568,0.0003446232],"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":[0.00003123816,0.00002146707,0.001328364,0.0005192347,0.00001011595,0.0000273246,0.0000935314,0.0001307235,0.00005687452,0.001013166,0.9937927,0.002975367],"study_design_scores_gemma":[0.00007486607,0.000008850683,0.004585049,0.0003854766,0.00000870957,0.00004058088,0.0003886483,0.0002024098,0.0001052103,0.001270559,0.9929124,0.00001737864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002787603,0.00006757372,0.00006166996,0.0001529023,0.00002599114,0.0000261839,0.9979628,0.00007228366,0.001351809],"genre_scores_gemma":[0.0007608503,0.00008276584,0.0003715883,0.0001383846,0.000009943658,0.0003269197,0.9968124,0.00003689067,0.001460278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05677613,"threshold_uncertainty_score":0.1899351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200539773548925,"score_gpt":0.3666851121597074,"score_spread":0.2466311348048149,"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."}}