{"id":"W4255000666","doi":"10.1108/oxan-db200380","title":"Prospects for India in the third quarter","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Prime minister; Foreign direct investment; Momentum (technical analysis); LOOM; Economics; Government (linguistics); Investment (military); State (computer science); Subject (documents); Economic history; Political science; Economy; Development economics; Geography; Engineering; Finance; Macroeconomics; Politics; Mathematics; 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":[0.0007212149,0.0004894543,0.0002896614,0.001002783,0.002145561,0.00811035,0.0007160942,0.002592909,0.09496056],"category_scores_gemma":[0.001461277,0.0001845567,0.0004959707,0.001187961,0.000936592,0.0022186,0.003275399,0.002735595,0.03280814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00228281,"about_ca_system_score_gemma":0.006739389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521493,"about_ca_topic_score_gemma":0.01856945,"domain_scores_codex":[0.9994073,0.0000500866,0.00001960584,0.00004144377,0.0001817229,0.0002997837],"domain_scores_gemma":[0.9989353,0.00006217293,0.00006799385,0.00009049456,0.0002428138,0.0006011912],"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":[0.00001972264,0.00002770737,0.000575686,0.00007215884,0.000002725158,0.0001301286,0.0001117257,0.00006426233,0.0001352383,0.02614475,0.9515519,0.02116402],"study_design_scores_gemma":[0.000002888162,0.000006214007,0.00212655,0.0000684258,0.00000181987,0.00007052936,0.0002546267,0.00002700794,0.00007597738,0.002141359,0.9952185,0.000006171791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.007223408,0.02823598,0.0003735612,0.170512,0.03220408,0.00006765351,0.00376077,0.0006266186,0.756996],"genre_scores_gemma":[0.05747785,0.01565133,0.0004280506,0.05139459,0.005294097,0.00007430113,0.002438781,0.0002080562,0.8670329],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09496056,"threshold_uncertainty_score":0.3176748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695085352665974,"score_gpt":0.2512735644002246,"score_spread":0.2243227108735648,"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."}}