{"id":"W2972082448","doi":"10.1007/978-3-030-26403-1_16","title":"You’ve Got It All Backwards: Canada’s National Defence Strategy","year":2019,"lang":"en","type":"book-chapter","venue":"Canada and international affairs","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Perspective (graphical); Government (linguistics); Politics; Political science; Global strategy; Public administration; Political economy; Sociology; Law; Business; Social science; Computer science; Marketing","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":[0.001807247,0.0007818431,0.0004928182,0.002442078,0.02165271,0.01646484,0.001610716,0.006512107,0.01467266],"category_scores_gemma":[0.003440333,0.0005226366,0.0004650548,0.005269281,0.007242758,0.003973119,0.002438528,0.007062979,0.001575113],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2039409,"about_ca_system_score_gemma":0.3237434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942939,"about_ca_topic_score_gemma":0.9973666,"domain_scores_codex":[0.9970201,0.0002448239,0.00003921058,0.0001692847,0.001327332,0.001199245],"domain_scores_gemma":[0.9988287,0.0001386725,0.00002579919,0.00003096892,0.0006604615,0.000315334],"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":[0.0000100264,0.00001283046,0.000307018,0.0000503099,0.000006916065,0.00006720438,0.002529897,0.0002578555,0.00005576973,0.4736548,0.5006615,0.02238596],"study_design_scores_gemma":[0.000004617508,0.000002768676,0.0007629935,0.0001235101,0.00000558945,0.00001915023,0.001975037,0.0001099746,0.00005011692,0.01819647,0.9787297,0.00001996752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006256818,0.02840585,0.0006604759,0.2013032,0.003356937,0.00004916724,0.0005236899,0.00005576184,0.7593881],"genre_scores_gemma":[0.1276444,0.01577822,0.001037959,0.03747614,0.0004465,0.00005869878,0.0002725815,0.0001184201,0.817167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7960591,"threshold_uncertainty_score":0.9233157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824663970674066,"score_gpt":0.260690374146329,"score_spread":0.2324437344395883,"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."}}