{"id":"W2792500010","doi":"","title":"Protection and the determinants of household income in Tanzania 1991-2007","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Household income; Tanzania; Economics; Tariff; Labour economics; Quarter (Canadian coin); Demographic economics; Panel data; Socioeconomics; 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":[0.0003360496,0.0001627353,0.0001638569,0.0006792604,0.0002459825,0.0003676481,0.0001961512,0.0001628659,0.002337339],"category_scores_gemma":[0.001204675,0.0001341871,0.0002543954,0.001448631,0.0001886459,0.0002622408,0.0004331667,0.0004047354,0.0004521577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006023768,"about_ca_system_score_gemma":0.0003288575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03430599,"about_ca_topic_score_gemma":0.05064954,"domain_scores_codex":[0.9998121,0.00004068346,0.00001281442,0.00002545294,0.0000333356,0.00007555034],"domain_scores_gemma":[0.9991016,0.0001469238,0.0005501156,0.00002694549,0.00008107554,0.00009331755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005610267,0.00002522305,0.9931468,0.00003617456,0.00003709865,0.0001697885,0.0005137005,0.0003342578,0.0001531405,0.0002281758,0.001303685,0.003995726],"study_design_scores_gemma":[0.000001682235,0.00001782409,0.9987237,0.00001077836,0.000007732679,0.00003831996,0.000285485,0.0001821393,0.000025599,0.00002250736,0.000682543,0.000001629219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961762,0.0003727511,0.00006751555,0.0001938683,0.000005804216,0.000006396991,0.002505465,0.000004249939,0.000667575],"genre_scores_gemma":[0.9964671,0.0002013969,0.00007581314,0.00002691935,0.000007829564,0.0000087744,0.002489567,0.000001814392,0.0007207717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03430599,"threshold_uncertainty_score":0.06821263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723002416657637,"score_gpt":0.2607317563224478,"score_spread":0.2435017321558714,"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."}}