{"id":"W1542197339","doi":"10.1920/wp.ifs.2006.0619","title":"Estimating a collective household model with survey data on financial satisfaction","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Survey data collection; Business; Econometrics; Computer science; Economics; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00104589,0.0003323737,0.000545082,0.0001305943,0.003312579,0.000417586,0.0007292458,0.0003582589,0.0003266576],"category_scores_gemma":[0.001651985,0.0002672637,0.00004621838,0.0002286474,0.000379195,0.0004671475,0.0001839398,0.0004234345,0.0004227555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425489,"about_ca_system_score_gemma":0.003085535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05571489,"about_ca_topic_score_gemma":0.2460987,"domain_scores_codex":[0.9974586,0.0003207931,0.0002711198,0.0007627034,0.0007729256,0.0004138911],"domain_scores_gemma":[0.9975641,0.0006343265,0.0004975277,0.0008794899,0.0003193868,0.0001051461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000102582,0.00003652228,0.002599205,0.00001561193,0.00008810122,0.0000017257,0.00377352,0.005053589,2.277054e-7,0.0003484206,0.9858025,0.002178005],"study_design_scores_gemma":[0.00763948,0.001857473,0.2261713,0.002644386,0.0009843205,0.000006859,0.005795812,0.3689695,0.00003502689,0.004426946,0.3724977,0.008971156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001535571,0.0001599025,0.03159064,0.0002562568,0.002153954,0.0008731392,0.003234044,0.0001262414,0.9600703],"genre_scores_gemma":[0.1701816,0.0003031078,0.004008545,0.0002485579,0.001384836,0.00007510999,0.0007477229,0.00005996319,0.8229906],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6133048,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2146274151863145,"score_gpt":0.3712189045130651,"score_spread":0.1565914893267505,"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."}}