{"id":"W7095917783","doi":"","title":"Disentangling India’s Investment Slowdown1","year":2014,"lang":"en","type":"article","venue":"","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quarter (Canadian coin); Interest rate; Real interest rate; Business cycle; Investment decisions; Measure (data warehouse)","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":[0.0007102414,0.0002181012,0.0002436555,0.0014994,0.000471191,0.001846325,0.0002957842,0.0003200285,0.002323945],"category_scores_gemma":[0.003430006,0.0001707458,0.000273305,0.002892904,0.0004964754,0.0008670221,0.001166936,0.001222849,0.000381015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430474,"about_ca_system_score_gemma":0.001317977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04604478,"about_ca_topic_score_gemma":0.07218139,"domain_scores_codex":[0.999631,0.00005979597,0.00002558197,0.00004222036,0.00008134385,0.000159901],"domain_scores_gemma":[0.9962813,0.001202739,0.001478382,0.0001960115,0.0005788509,0.0002626867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002328814,0.00005247856,0.9329336,0.0002198052,0.0001697429,0.0009431464,0.005297108,0.001786919,0.001208678,0.01633398,0.004773622,0.03604798],"study_design_scores_gemma":[0.000003140713,0.00003562033,0.9860241,0.00005758836,0.0000439031,0.0001572253,0.003363072,0.001168746,0.0004221391,0.001366446,0.007339582,0.00001837427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743096,0.001311162,0.0005865218,0.003567217,0.0000412643,0.000008548453,0.001007938,0.00003142433,0.01913635],"genre_scores_gemma":[0.9983283,0.0004857354,0.00009348011,0.0001172285,0.00002349067,0.000002289019,0.0003026656,0.000005784917,0.0006411484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04604478,"threshold_uncertainty_score":0.09155351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353404999055772,"score_gpt":0.2785757517207409,"score_spread":0.2650417017301832,"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."}}