{"id":"W6926850688","doi":"10.25446/oxford.25275853","title":"58334: Margaret Darley and St Johns Ambulance","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wife; Government (linguistics); Biography; Accident (philosophy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006573689,0.001148072,0.0006164737,0.001118571,0.002012311,0.002258511,0.001197658,0.001894283,0.8416746],"category_scores_gemma":[0.001603449,0.0005628574,0.0003447978,0.0007756463,0.0003952273,0.001082402,0.002137659,0.002373592,0.7067435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140094,"about_ca_system_score_gemma":0.001531349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498113,"about_ca_topic_score_gemma":0.01512249,"domain_scores_codex":[0.9996569,0.00003641182,0.00001226995,0.00009656902,0.0001138739,0.00008384687],"domain_scores_gemma":[0.9983748,0.0001133445,0.00004734933,0.00006142425,0.0003311734,0.001071751],"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":[0.00004030877,0.00001558436,0.0000569056,0.00001748204,7.637604e-7,0.0000474798,0.00001696418,0.00001063545,0.0001269374,0.0005242422,0.9745876,0.02455508],"study_design_scores_gemma":[0.00001274348,0.00001699521,0.0003114904,0.00003504367,0.000001261505,0.00008234223,0.00004546321,0.00002487439,0.00007836213,0.0002550757,0.9991321,0.000004149252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009596242,0.003540586,0.0008815547,0.02502209,0.009091931,0.0001434074,0.004643525,0.002353574,0.9533636],"genre_scores_gemma":[0.0009030732,0.0004788172,0.0002351949,0.00111962,0.0002805794,0.00002527111,0.0005655868,0.0002210198,0.9961708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8416746,"threshold_uncertainty_score":0.2258319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502971390755088,"score_gpt":0.324265449102695,"score_spread":0.2992357351951441,"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."}}