{"id":"W1606599695","doi":"","title":"Earnings of Couples with High and Low Levels of Education, 1980-2000","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Business; Economics; Labour economics; Accounting","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":[0.001634897,0.0001859738,0.0004762895,0.0003519037,0.0001767247,0.00006334522,0.0005063363,0.0003582368,0.0000467377],"category_scores_gemma":[0.0003458066,0.0001932358,0.00006159853,0.0002064413,0.001406516,0.00009009147,0.0002787038,0.000696902,0.000001030008],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000758977,"about_ca_system_score_gemma":0.009149786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006940062,"about_ca_topic_score_gemma":0.005643863,"domain_scores_codex":[0.9979535,0.0002080506,0.0004856197,0.0005185688,0.0003695615,0.0004646909],"domain_scores_gemma":[0.9983073,0.0003187334,0.0003225119,0.00046773,0.0004193072,0.0001643638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001973066,0.0009674046,0.6887948,0.001783782,0.0003257879,0.00000923334,0.09611491,0.0414209,0.0003684233,0.05736977,0.00003343632,0.1126143],"study_design_scores_gemma":[0.001035293,0.0002366894,0.9167681,0.001128542,0.00003078671,0.000002950742,0.05963198,0.0006132998,0.0001442753,0.01564114,0.004101769,0.000665118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674301,0.0002576261,0.000008354432,0.0002122307,0.0002171713,0.000510036,0.0000990985,0.00001337464,0.03125206],"genre_scores_gemma":[0.9850478,0.0115526,0.001134409,0.00002524948,0.0001111223,0.00004327301,0.00002365419,0.00002924457,0.00203272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279734,"threshold_uncertainty_score":0.9996728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536311890749446,"score_gpt":0.3125504945362006,"score_spread":0.2871873756287061,"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."}}