{"id":"W3083742224","doi":"10.1017/s1557466018014377","title":"Tightly Bound: The United States and Australia's Alliance-Dependent Militarization","year":2018,"lang":"en","type":"article","venue":"Japan focus","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Militarization; Alliance; Political science; Economic geography; Geography; Politics; 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":[0.001180764,0.0001153051,0.000203955,0.000819586,0.007409226,0.003715949,0.000477167,0.001377302,0.002937536],"category_scores_gemma":[0.002718843,0.0002005887,0.000177785,0.0009823528,0.01030905,0.003270474,0.006413787,0.003599717,0.0001544205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005944776,"about_ca_system_score_gemma":0.005290885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1256957,"about_ca_topic_score_gemma":0.2119294,"domain_scores_codex":[0.9985555,0.0006076246,0.00003111256,0.0001318895,0.0002286256,0.0004452095],"domain_scores_gemma":[0.9989153,0.0002248571,0.000145014,0.00009684347,0.0002060426,0.0004119093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000514208,0.00009217972,0.01231362,0.0000540961,0.00001507651,0.0006053859,0.3297569,0.0001945983,0.000525678,0.6246682,0.005802223,0.02592062],"study_design_scores_gemma":[0.00002471334,0.0001906295,0.1586894,0.0005089037,0.00004089841,0.0007235319,0.3582319,0.001458381,0.000639322,0.1318673,0.347537,0.00008807953],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7591472,0.00165001,0.0009023421,0.0179675,0.0001618519,0.00002076654,0.00002030954,0.0000137372,0.2201163],"genre_scores_gemma":[0.9905438,0.0002609894,0.000169764,0.001590756,0.00001470549,0.0000101483,0.000005565676,0.000004554801,0.007399687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1256957,"threshold_uncertainty_score":0.2499282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503381887720536,"score_gpt":0.3086133118429741,"score_spread":0.2735794929657688,"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."}}