{"id":"W2807934366","doi":"10.5509/2018912231","title":"India and China: On a Collision Course?","year":2018,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Collision; China; Political science; History; Ancient history; Geography; Computer security; Computer science; Physics; Law; Astronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008741424,0.0005321958,0.0005063048,0.001599869,0.01123593,0.01141358,0.001185669,0.003153417,0.02150295],"category_scores_gemma":[0.000938758,0.0002764806,0.0003986231,0.003633027,0.007850669,0.006956318,0.006714573,0.004396916,0.001413336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009984125,"about_ca_system_score_gemma":0.01405512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1166455,"about_ca_topic_score_gemma":0.170704,"domain_scores_codex":[0.9986377,0.0002051159,0.00002464225,0.0001108746,0.0001834872,0.0008381217],"domain_scores_gemma":[0.9993342,0.00007572827,0.00003829167,0.00005279053,0.00006969467,0.0004293667],"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":[0.0001521067,0.0001517953,0.02010141,0.0003518757,0.00006926088,0.004444984,0.08240622,0.0002395733,0.000475289,0.6265459,0.1819895,0.08307216],"study_design_scores_gemma":[0.00003792134,0.00006450306,0.02175983,0.0004207191,0.00004028695,0.0006513789,0.123172,0.0001738722,0.000252184,0.0310396,0.822311,0.00007669861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1868635,0.03378962,0.0003003324,0.2903977,0.004546682,0.00006021094,0.0002857517,0.0001264946,0.4836296],"genre_scores_gemma":[0.7822733,0.01490659,0.0002503381,0.05153613,0.001173462,0.00006000105,0.0003030412,0.00006326558,0.149434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1166455,"threshold_uncertainty_score":0.2319331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215934947972302,"score_gpt":0.1999797876559543,"score_spread":0.1878204381762313,"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."}}