{"id":"W4413395458","doi":"10.21203/rs.3.rs-7178606/v1","title":"How Infant Health Shapes Maternal Earnings","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Earnings; Economics; Psychology; Obstetrics; Business; Medicine; Demographic economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009699954,0.000148724,0.0002106598,0.000367093,0.0003523961,0.001789083,0.0002590997,0.0006000097,0.03229045],"category_scores_gemma":[0.007516324,0.0001322592,0.000260823,0.0006549666,0.0004653643,0.00079128,0.0005442317,0.0006296617,0.001747158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007946989,"about_ca_system_score_gemma":0.0007392583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02941404,"about_ca_topic_score_gemma":0.02635126,"domain_scores_codex":[0.9995776,0.0002140502,0.000008347812,0.00004283675,0.00005818042,0.00009898653],"domain_scores_gemma":[0.996894,0.00236465,0.0002182351,0.000120255,0.0001885772,0.0002142536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008840766,0.0002063127,0.3256056,0.0002304256,0.000259923,0.0007584786,0.004957161,0.0069393,0.001424172,0.4367169,0.0944363,0.1275814],"study_design_scores_gemma":[0.0001115854,0.0001744447,0.5074032,0.0004291292,0.000294659,0.0002440892,0.01245519,0.01464075,0.001802859,0.3604059,0.1019835,0.00005463477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6648554,0.003880773,0.004499489,0.03757344,0.0006559326,0.000016144,0.004035621,0.0001081111,0.2843751],"genre_scores_gemma":[0.9630896,0.001057166,0.0004434582,0.0006546217,0.00009276561,0.000009802222,0.000284096,0.00006204904,0.03430641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03229045,"threshold_uncertainty_score":0.1080223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1675047720406445,"score_gpt":0.5771689260223835,"score_spread":0.4096641539817389,"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."}}