{"id":"W4237107186","doi":"10.1163/2213-2996_flg_com_047032h","title":"Canada - Defense &amp; National Security","year":2015,"lang":"en","type":"dataset","venue":"Foreign Law Guide","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"National security; Computer security; Chemistry; Computer science; 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":[0.001448975,0.002887868,0.00162446,0.01043821,0.001789777,0.0045534,0.003506312,0.002236016,0.09604643],"category_scores_gemma":[0.01051008,0.001165251,0.001584515,0.01904065,0.0008678169,0.001584798,0.002432404,0.002529283,0.08162536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007911,"about_ca_system_score_gemma":0.02716161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7246618,"about_ca_topic_score_gemma":0.8318202,"domain_scores_codex":[0.9984254,0.0001210773,0.0001512231,0.0002413866,0.0005979726,0.0004629166],"domain_scores_gemma":[0.9926885,0.001031615,0.0006548732,0.000968295,0.003668953,0.0009877065],"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":[0.00001244924,0.00000551744,0.0004154132,0.0001981212,0.000009767505,0.000005459972,0.000009981652,0.00009463664,0.00001109263,0.0003058946,0.9980707,0.0008611211],"study_design_scores_gemma":[0.0001151106,0.000005215296,0.005396112,0.0005402263,0.00002554021,0.00002244364,0.00007650712,0.0002960687,0.000128387,0.000780743,0.9925851,0.00002842098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004229125,0.0000601202,0.00001674096,0.00005109259,0.00001238513,0.000005884118,0.9991547,0.00009259855,0.0005640748],"genre_scores_gemma":[0.0003305872,0.0001275054,0.0001327274,0.00006561379,0.000007222657,0.00004699498,0.9974415,0.0000700707,0.001777725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2753382,"threshold_uncertainty_score":0.5539195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291330842607543,"score_gpt":0.3121373426961765,"score_spread":0.2792240342701011,"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."}}