{"id":"W3127007616","doi":"10.12968/bjom.2021.29.2.115","title":"A research midwife in a pandemic","year":2021,"lang":"en","type":"article","venue":"British Journal of Midwifery","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Political science; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.02524885,0.001131402,0.00170334,0.00104088,0.03917811,0.01468788,0.003595874,0.03103645,0.04191143],"category_scores_gemma":[0.05613308,0.002004658,0.001581058,0.000817218,0.01578935,0.02192396,0.0180717,0.07877988,0.006041188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01077192,"about_ca_system_score_gemma":0.05159014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04024856,"about_ca_topic_score_gemma":0.1056409,"domain_scores_codex":[0.9678639,0.01521709,0.001734987,0.003226017,0.003264845,0.008693251],"domain_scores_gemma":[0.8971002,0.01509303,0.003250423,0.002233191,0.01107201,0.07125117],"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":[0.0004319047,0.0002574848,0.002843592,0.000531574,0.00004962002,0.003894399,0.04794639,0.0001143679,0.001636632,0.03003309,0.8839149,0.02834602],"study_design_scores_gemma":[0.00007889749,0.000425937,0.001063609,0.001118642,0.00002367298,0.001049607,0.1080242,0.0000708056,0.0001805932,0.006298746,0.8815431,0.000122135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002270661,0.002718065,0.0004139089,0.9539964,0.03443225,0.00002838168,0.00002315498,0.00004500496,0.006072054],"genre_scores_gemma":[0.03577928,0.003959815,0.001816108,0.9109765,0.007304037,0.0001231862,0.00002472999,0.0001094419,0.03990678],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04191143,"threshold_uncertainty_score":0.1402077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465647980279256,"score_gpt":0.3378373078175397,"score_spread":0.2831808280147472,"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."}}