{"id":"W3123418038","doi":"","title":"Exploring Online and Offline Informal Work: Findings from the Enterprising and Informal Work Activities (EIWA) Survey","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Informal sector; Quarter (Canadian coin); Paid work; Survey data collection; Informal learning; Business; Online and offline; Labour economics; Demographic economics; Marketing; Economics; Psychology; Political science; Economic growth; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003581568,0.0002509562,0.000381271,0.0002363719,0.0006628628,0.0009368779,0.0004918148,0.0002791421,0.00003158038],"category_scores_gemma":[0.0005254797,0.0002104879,0.00007750078,0.0001594521,0.0008523398,0.002269652,0.0007995889,0.00105446,0.000004038577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657576,"about_ca_system_score_gemma":0.0003876656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008766649,"about_ca_topic_score_gemma":0.007431534,"domain_scores_codex":[0.99775,0.0002618453,0.0006058257,0.0003903359,0.0002530708,0.0007388488],"domain_scores_gemma":[0.9969537,0.002312056,0.0001640179,0.0003252622,0.00005785246,0.0001871696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002559913,0.00002740553,0.2099645,0.00002748135,0.00006049306,0.0000014602,0.01712855,0.00012654,5.18569e-7,0.0003131855,0.00001496997,0.7720789],"study_design_scores_gemma":[0.0009001922,0.00005700993,0.9315708,0.00137612,0.00001160262,0.000001185502,0.01816023,0.0002382373,0.00003410282,0.0008877965,0.04608689,0.0006757844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616968,0.0001067029,0.00001174995,0.0007336873,0.0003565489,0.0004688162,0.0002124477,0.00003418239,0.03637909],"genre_scores_gemma":[0.9812497,0.01754534,0.0001012642,0.00008502871,0.0002944906,0.00007107943,0.000142129,0.00002133357,0.0004895616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7714031,"threshold_uncertainty_score":0.9034335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09464779413112204,"score_gpt":0.3183250616624146,"score_spread":0.2236772675312926,"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."}}