{"id":"W2490994172","doi":"10.1017/cbo9780511616112.012","title":"South Asia's embedded conflict: understanding the India–Pakistan rivalry","year":2005,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; McGill University","funders":"","keywords":"Rivalry; International relations; Political science; Politics; Political economy; Power (physics); International relations theory; Variety (cybernetics); Great power; Positive economics; Development economics; Sociology; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494459,0.0004049979,0.0003533698,0.001149969,0.003071115,0.008540635,0.000810131,0.001482488,0.002755791],"category_scores_gemma":[0.001786674,0.0002533981,0.0003596506,0.00238825,0.003452626,0.004767901,0.002197793,0.003673125,0.0002771243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019727,"about_ca_system_score_gemma":0.001954668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957223,"about_ca_topic_score_gemma":0.008986164,"domain_scores_codex":[0.9997198,0.0001083465,0.00001693512,0.00002993047,0.0000772858,0.0000476476],"domain_scores_gemma":[0.9978445,0.001714576,0.0001310719,0.00003339091,0.0001414872,0.0001350926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000801373,0.00005060234,0.004270905,0.0009109639,0.00004317648,0.002518521,0.1022861,0.001512224,0.0004935598,0.5659029,0.2743929,0.04753811],"study_design_scores_gemma":[0.00001119036,0.0000454135,0.006120702,0.0007947332,0.00004042644,0.0006788432,0.07856732,0.001804758,0.0002890817,0.1245214,0.7870899,0.00003624743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1052002,0.1076512,0.005394464,0.3277035,0.05401508,0.00006943021,0.000257636,0.00008983823,0.3996186],"genre_scores_gemma":[0.7899171,0.09960385,0.002009565,0.01866404,0.03101987,0.00007399058,0.0002198629,0.000168748,0.05832297],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008540635,"threshold_uncertainty_score":0.01465428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115017878124491,"score_gpt":0.260937944881541,"score_spread":0.1997877661002961,"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."}}