{"id":"W2161891094","doi":"10.1111/j.1540-5982.2010.01631.x","title":"Informal work networks","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Enforcement; Informal sector; Labour economics; Business; Work (physics); Microeconomics; Economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009022412,0.0005349166,0.0005989687,0.0009209522,0.001527536,0.003153979,0.002023379,0.001957515,0.03490439],"category_scores_gemma":[0.004971596,0.0003438226,0.00048429,0.001573091,0.001598024,0.003881127,0.001667285,0.001284951,0.004472875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670527,"about_ca_system_score_gemma":0.001119557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009640738,"about_ca_topic_score_gemma":0.005747014,"domain_scores_codex":[0.9990065,0.0003890557,0.00004189126,0.0002000918,0.0001668841,0.0001956487],"domain_scores_gemma":[0.9973907,0.0008927102,0.0005769033,0.0003015891,0.000277705,0.0005603977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001438489,0.0001905392,0.004694114,0.00008969696,0.00002791705,0.0006740187,0.001221995,0.07103499,0.0002515611,0.8856122,0.01419293,0.02186606],"study_design_scores_gemma":[0.0002181807,0.0001061461,0.002998122,0.0001846523,0.00003978199,0.0005121189,0.001554136,0.2270993,0.0001955722,0.6838954,0.0831388,0.00005768738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2943917,0.001697564,0.2495995,0.01727252,0.0003890088,0.000549708,0.004999745,0.0005881246,0.4305121],"genre_scores_gemma":[0.895617,0.001037913,0.008176196,0.0003193732,0.0001471838,0.0003334466,0.0007397388,0.00004467342,0.09358444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03490439,"threshold_uncertainty_score":0.1167668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035632311370962,"score_gpt":0.168512412043167,"score_spread":0.03505081909392924,"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."}}