{"id":"W2952207076","doi":"10.1525/sod.2019.5.2.198","title":"From the Ground Up","year":2019,"lang":"en","type":"article","venue":"Sociology of Development","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earnings; Poverty; Perspective (graphical); Spatial mismatch; Informal sector; Demographic economics; Labour economics; Intervention (counseling); Self-employment; Business; Economics; Economic growth; Entrepreneurship; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007740374,0.0004907289,0.0004279483,0.0009062928,0.004422695,0.006953008,0.0008565738,0.001543619,0.1035716],"category_scores_gemma":[0.003146305,0.0002472727,0.0003389643,0.0007679087,0.003447088,0.004980185,0.005232782,0.002938606,0.0312022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003429082,"about_ca_system_score_gemma":0.002715304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334604,"about_ca_topic_score_gemma":0.02115781,"domain_scores_codex":[0.9989747,0.0002163645,0.00003733244,0.0002444482,0.0002581949,0.0002690272],"domain_scores_gemma":[0.9989868,0.00009595659,0.00009128376,0.0001794344,0.0003230857,0.0003234162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001719319,0.0001160278,0.01124296,0.0003692917,0.00004146255,0.0007536593,0.01703485,0.0002926778,0.002196883,0.4594181,0.2181737,0.2901884],"study_design_scores_gemma":[0.000004301048,0.00003575438,0.002285994,0.0001910188,0.000005741498,0.0001218696,0.004245145,0.00006410564,0.0002226895,0.01389092,0.9789209,0.00001158413],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03517179,0.006658501,0.008610088,0.05370619,0.002605901,0.0001006935,0.000984858,0.0003618433,0.8918001],"genre_scores_gemma":[0.3984992,0.005080373,0.005482906,0.01372288,0.00083009,0.00008755916,0.0008380018,0.0005332184,0.5749258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1035716,"threshold_uncertainty_score":0.3464815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869422779549606,"score_gpt":0.2364630212588891,"score_spread":0.187768793463393,"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."}}