{"id":"W2549884875","doi":"","title":"Contested Terrains: Visualizing the Nation within Global Military Conflict","year":2011,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Political science; Geography; Cartography","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":[0.001160178,0.0005295128,0.0002097141,0.002064819,0.002656655,0.006999959,0.0004710145,0.0008294537,0.005249381],"category_scores_gemma":[0.002818806,0.0002427436,0.0004667522,0.002028997,0.004681931,0.004476369,0.004318428,0.001060857,0.0003313115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164274,"about_ca_system_score_gemma":0.0008443628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009759831,"about_ca_topic_score_gemma":0.01390629,"domain_scores_codex":[0.999431,0.0003707472,0.00001346776,0.00005151084,0.00006455026,0.00006873305],"domain_scores_gemma":[0.9990816,0.0005753342,0.00008479627,0.0001156729,0.00005526204,0.00008728524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002367004,0.0000442076,0.01520313,0.0006522183,0.00006819858,0.001843431,0.7511338,0.003730874,0.009160382,0.1540186,0.01136636,0.05254213],"study_design_scores_gemma":[0.00004289992,0.0001275939,0.02909356,0.001343656,0.0001142618,0.002291503,0.4946868,0.00661127,0.00410487,0.05494672,0.4064851,0.0001517697],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7601672,0.005516832,0.05031969,0.00814051,0.000404916,0.0001076845,0.001052071,0.0007815902,0.1735096],"genre_scores_gemma":[0.9785157,0.001087971,0.0143154,0.0002772113,0.00004959963,0.00007134709,0.0001671657,0.0001597161,0.0053559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009759831,"threshold_uncertainty_score":0.01940608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428246884969282,"score_gpt":0.2481073909679748,"score_spread":0.223824922118282,"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."}}