{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004986901,0.0001019097,0.0002673953,0.0001211487,0.0001509697,0.0000746568,0.0002966493,0.0001131479,0.003044313],"category_scores_gemma":[0.001091778,0.0001287146,0.00009691311,0.0006269781,0.0002548667,0.0004102835,0.0002648398,0.001323854,0.00031306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005704537,"about_ca_system_score_gemma":0.0001582821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000477401,"about_ca_topic_score_gemma":0.001402689,"domain_scores_codex":[0.996553,0.0009473281,0.0006233626,0.0003483906,0.0009475509,0.0005803663],"domain_scores_gemma":[0.9989473,0.0003951359,0.0001528487,0.0001927234,0.00005062106,0.0002613819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008603449,0.0008047817,0.5610664,0.00005260241,0.00003518511,0.02603624,0.0008860066,0.0007299735,0.01988588,0.00001800384,0.01663898,0.3737599],"study_design_scores_gemma":[0.00133564,0.0001022779,0.951835,0.0006931048,0.000009738459,0.01111945,0.001393406,0.00007400092,0.001336134,0.001340214,0.03053777,0.0002232903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888256,0.002676222,0.0001687899,0.0005130272,0.0001708288,0.0001139552,0.000003700058,0.000007177845,0.007520691],"genre_scores_gemma":[0.9924139,0.00478808,0.001072611,0.0007061589,0.0001407364,0.00000622226,0.000001733075,0.00002232932,0.0008482439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3907685,"threshold_uncertainty_score":0.997867,"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."}}