{"id":"W4321123802","doi":"10.2139/ssrn.4357558","title":"Marital Sorting and Inequality: How Educational Categorization Matters","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Categorization; Inequality; Sorting; Psychology; Demographic economics; Political science; Sociology; Social psychology; Computer science; Economics; Artificial intelligence; Mathematics; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.002410559,0.00008221305,0.00009086767,0.0001235422,0.00118869,0.0001750424,0.000107107,0.0000438585,0.00004551503],"category_scores_gemma":[0.0004541753,0.00007905248,0.00004374264,0.0003098023,0.00009792893,0.0003384902,0.00002989413,0.0003692248,0.00004075034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004903376,"about_ca_system_score_gemma":0.002026304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006290637,"about_ca_topic_score_gemma":0.004132987,"domain_scores_codex":[0.9981819,0.0001566791,0.000187676,0.0001390028,0.0003544619,0.000980263],"domain_scores_gemma":[0.9994094,0.0001583232,0.0001150131,0.0000419461,0.0002045437,0.00007080851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004557182,0.00001970637,0.01755681,0.000004456648,0.00005395685,2.506937e-7,0.004446317,0.00001320314,0.00008309043,0.9704193,0.005241269,0.002157015],"study_design_scores_gemma":[0.0001271566,0.00003257353,0.01360502,0.000009229507,0.0000151457,0.00001982247,0.0490329,0.00006246458,0.00000965078,0.9268436,0.01008493,0.0001575123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521664,0.0004863546,0.00114809,0.4735527,0.001081182,0.0001141137,0.000004751437,0.00005791737,0.001890866],"genre_scores_gemma":[0.9796761,0.001490713,0.00005647269,0.000660849,0.001724436,0.00001375932,0.00004424377,0.000008852297,0.01632456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4728919,"threshold_uncertainty_score":0.9142565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323878030008539,"score_gpt":0.3309884359889572,"score_spread":0.2977496556888719,"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."}}