{"id":"W7084115352","doi":"10.6084/m9.figshare.30154708.v2","title":"Fast Relief From Dental Pain with Emergency Care by London Road","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dental care; Toothache; Pain relief; Pain and suffering; Emergency medical services","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":[],"consensus_categories":[],"category_scores_codex":[0.001486179,0.002027762,0.001578666,0.00208458,0.0009447762,0.003159842,0.002996543,0.00236998,0.132769],"category_scores_gemma":[0.01647415,0.0009214069,0.00225262,0.003884431,0.0003621679,0.00154164,0.002186738,0.002053031,0.1072403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563981,"about_ca_system_score_gemma":0.002611326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03362911,"about_ca_topic_score_gemma":0.0797499,"domain_scores_codex":[0.9984173,0.000404056,0.0002544815,0.0004569114,0.0002382625,0.0002290276],"domain_scores_gemma":[0.994673,0.00184029,0.0006948324,0.0009537732,0.001265472,0.0005727222],"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":[0.0001344893,0.00001325126,0.001347062,0.000778091,0.00004421254,0.00001661698,0.0000186955,0.0001675764,0.00001843978,0.0001739339,0.9944361,0.002851504],"study_design_scores_gemma":[0.00128328,0.00005970574,0.01604899,0.002270045,0.0001694148,0.0001255636,0.0001944428,0.0007277916,0.0002237022,0.001776811,0.9770191,0.0001013291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001702619,0.00009941086,0.00008167861,0.0001650133,0.00005068605,0.00002279439,0.9982558,0.0002383506,0.0009160631],"genre_scores_gemma":[0.00136489,0.0001473679,0.0005567062,0.0002163069,0.00003417603,0.0002762271,0.99577,0.0001859768,0.00144829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.132769,"threshold_uncertainty_score":0.4441567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007845482448752878,"score_gpt":0.2331125317026462,"score_spread":0.2252670492538933,"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."}}