{"id":"W4361208359","doi":"10.1038/d41586-023-00888-3","title":"Pandemic productivity loss: how scientific institutions should support academic mothers","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Productivity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Political science; Economic growth; Sociology; Economics; Biology; Medicine; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03949261,0.000734797,0.0006940343,0.001560631,0.01282922,0.02213737,0.004855968,0.01689449,0.04753323],"category_scores_gemma":[0.1391006,0.0004990862,0.0009334374,0.001445721,0.00932245,0.01378262,0.01761657,0.02137058,0.008745376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01357422,"about_ca_system_score_gemma":0.09240613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009272735,"about_ca_topic_score_gemma":0.02130544,"domain_scores_codex":[0.9717407,0.01292441,0.001087089,0.001214437,0.004694878,0.008338466],"domain_scores_gemma":[0.7758381,0.0307342,0.01583308,0.007254033,0.0392688,0.1310718],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000295819,0.0006600888,0.01810897,0.0004043515,0.0001176466,0.00079905,0.006138232,0.0004585291,0.0005450853,0.05115203,0.8312168,0.09010338],"study_design_scores_gemma":[0.0002443823,0.0003785479,0.011763,0.001481277,0.00007981135,0.0003908512,0.03806379,0.0005510172,0.0007252357,0.07624354,0.8699307,0.0001479347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004348754,0.001072699,0.0006077664,0.9713494,0.006069485,0.00002834435,0.00006386389,0.00007343254,0.01638622],"genre_scores_gemma":[0.2765643,0.004484568,0.004388908,0.6709842,0.01268239,0.0002140137,0.0002917347,0.0002606727,0.03012916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9605074,"threshold_uncertainty_score":0.2088594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1782934491727504,"score_gpt":0.4577623453913958,"score_spread":0.2794688962186455,"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."}}