{"id":"W7108217331","doi":"10.58930/isbn9781925062601","title":"Air and Space Power: Maritime Security","year":2025,"lang":"","type":"book","venue":"","topic":"Maritime Security and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency of Canada; University of Texas at Arlington","keywords":"Space (punctuation); Selection (genetic algorithm); Maritime security; Power (physics); Air space; National security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001563685,0.000802779,0.0002760842,0.000906244,0.002085548,0.003622935,0.0003833311,0.001110371,0.02504759],"category_scores_gemma":[0.0004532743,0.0002388332,0.0002101174,0.001768585,0.001765951,0.002903392,0.001159223,0.002703056,0.01247327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858226,"about_ca_system_score_gemma":0.00216732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008958595,"about_ca_topic_score_gemma":0.02268477,"domain_scores_codex":[0.9998307,0.00003358845,0.000005858849,0.00002469723,0.00008928367,0.00001586142],"domain_scores_gemma":[0.9998868,0.00002929941,0.000009881898,0.00001310073,0.00003588236,0.0000251124],"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":[0.00001170684,0.0000179956,0.0002847326,0.0002257486,0.000004331396,0.00007550369,0.002009063,0.0001754981,0.0003424933,0.1599674,0.74569,0.09119561],"study_design_scores_gemma":[5.313225e-7,0.000002404237,0.0002741688,0.0001194138,8.564359e-7,0.00002979974,0.0002696033,0.00001867422,0.00002468098,0.004218403,0.9950402,0.00000125296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009874019,0.1300869,0.0006414084,0.01220243,0.006201891,0.00001782643,0.0001190811,0.00006788777,0.8496751],"genre_scores_gemma":[0.01818255,0.05786437,0.000752673,0.005119187,0.002762606,0.00003573295,0.0001887036,0.0001160002,0.9149782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02504759,"threshold_uncertainty_score":0.08379257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006689002058038334,"score_gpt":0.2371495447737995,"score_spread":0.2304605427157612,"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."}}