{"id":"W2905252925","doi":"","title":"Sizing Up Worker Center Income (2008-2014): A Study of Revenue Size, Stability, and Streams","year":2018,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"STREAMS; Revenue; Economics; Center (category theory); Sizing; Business; Stability (learning theory); Computer science; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196402,0.0002123171,0.0003525314,0.0003916769,0.0002729241,0.00008817846,0.0003463847,0.0000693488,0.0007910384],"category_scores_gemma":[0.0001042508,0.0002266857,0.00009645209,0.001097383,0.0001641888,0.0008327159,0.0006729037,0.0001374907,0.0001243124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005724313,"about_ca_system_score_gemma":0.00001679228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068959,"about_ca_topic_score_gemma":0.01040202,"domain_scores_codex":[0.9987489,0.00005304104,0.0002901104,0.0004599029,0.0001602196,0.0002878173],"domain_scores_gemma":[0.9987839,0.00009324105,0.0002966286,0.0005209671,0.0002764971,0.0000287633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001217891,0.0003668342,0.9973577,0.00004148504,0.00003240972,0.00002161551,0.0002781372,0.000008089947,0.00004629289,0.0005203319,0.0009203175,0.0002850084],"study_design_scores_gemma":[0.002132807,0.0001294812,0.9798967,0.0001162381,0.000297605,9.002491e-7,0.001848582,0.001473166,0.00004533332,0.0008180933,0.01284278,0.0003983618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946527,0.00002293175,0.0000158573,0.00002593037,0.000230902,0.0002973763,0.00001312953,0.00004976766,0.004691401],"genre_scores_gemma":[0.9985799,0.000009427344,0.00005040773,0.00006729172,0.0002397857,6.413896e-7,0.00001090218,0.000020762,0.001020893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01746103,"threshold_uncertainty_score":0.9243975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359687841520466,"score_gpt":0.1996637842804545,"score_spread":0.1760669058652498,"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."}}