{"id":"W4246630147","doi":"10.1108/oxan-db220447","title":"Poor jobs data loom over Modi’s 2019 poll bid in India","year":2017,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prime minister; Victory; Unemployment; Workforce; Labour economics; General election; Quarter (Canadian coin); Turnout; Economic shortage; Unemployment rate; Political science; Economics; Economic growth; Politics; Law; Geography","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":[0.00377513,0.0004460034,0.0003800908,0.001702717,0.005814568,0.006003635,0.001217224,0.004091762,0.0446793],"category_scores_gemma":[0.007425641,0.0003632322,0.0004246902,0.001815619,0.001584943,0.002317749,0.004950501,0.005687519,0.01333852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003942696,"about_ca_system_score_gemma":0.01174795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07651801,"about_ca_topic_score_gemma":0.150692,"domain_scores_codex":[0.9968365,0.0003920447,0.0001498151,0.0001778151,0.001183744,0.001260061],"domain_scores_gemma":[0.994552,0.001219252,0.0003287887,0.0002796905,0.00172593,0.001894515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006439741,0.00002915528,0.003399305,0.0001534747,0.000007048744,0.0001305818,0.000884179,0.0000310364,0.0001387692,0.004849161,0.974749,0.01556395],"study_design_scores_gemma":[0.000009546479,0.00002126638,0.0169779,0.00017678,0.000007673153,0.00003561363,0.003280371,0.00004073686,0.0002172777,0.0006200572,0.9785894,0.00002343754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03361568,0.004789257,0.0006662097,0.50111,0.02858983,0.0004250664,0.02800503,0.0008395301,0.4019594],"genre_scores_gemma":[0.1135961,0.004199714,0.0005301898,0.1824088,0.006312158,0.0005158435,0.01210848,0.0005470605,0.6797817],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07651801,"threshold_uncertainty_score":0.1521452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08146917449869318,"score_gpt":0.429865880485662,"score_spread":0.3483967059869689,"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."}}