{"id":"W7097564667","doi":"","title":"Sheepskin Effects of Investment in Schooling: Do They Signal Family Background? Case of Pakistan","year":2016,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Investment (military); Work (physics); Order (exchange); Set (abstract data type); Empirical research","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":[0.001362975,0.0001854542,0.0005041103,0.0007708792,0.00130049,0.0008334122,0.000462741,0.0005804083,0.004112931],"category_scores_gemma":[0.005012557,0.0001428903,0.000350292,0.001119345,0.001176039,0.0006893513,0.0009438508,0.0009683191,0.000224612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007948311,"about_ca_system_score_gemma":0.0007348757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08886534,"about_ca_topic_score_gemma":0.06311864,"domain_scores_codex":[0.9992604,0.0003215197,0.00003065206,0.0001421007,0.00005596186,0.0001894518],"domain_scores_gemma":[0.9931265,0.003413555,0.00213194,0.0004778556,0.0003770351,0.0004730083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003223933,0.0001432042,0.9746143,0.00003864875,0.0001317621,0.004169727,0.002236031,0.002009559,0.0003789246,0.007259279,0.0007627106,0.007933447],"study_design_scores_gemma":[0.00005068895,0.0002058178,0.9743484,0.00004410485,0.0001852792,0.0009870353,0.009664538,0.008341668,0.0005013729,0.003825258,0.001812025,0.00003375501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997136,0.000106507,0.0003328096,0.0004107788,0.000003201414,0.000006558072,0.000200794,0.000002234118,0.001801102],"genre_scores_gemma":[0.9995178,0.00006947777,0.00008746712,0.00002227713,0.000003506143,0.000002894625,0.00006141862,7.299186e-7,0.0002345221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08886534,"threshold_uncertainty_score":0.1766962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638439057295797,"score_gpt":0.2354165794614154,"score_spread":0.2090321888884574,"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."}}