{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007254633,0.0005525336,0.0005317975,0.0002296976,0.0001628109,0.0003494761,0.004703501,0.0003320757,0.0795786],"category_scores_gemma":[0.0004512021,0.0004881363,0.0001855323,0.0008689491,0.000007792255,0.0003895835,0.001649238,0.0005604207,0.001932144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474333,"about_ca_system_score_gemma":0.0002801571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552191,"about_ca_topic_score_gemma":0.003051663,"domain_scores_codex":[0.9967625,0.0002124907,0.000438287,0.001324913,0.000800414,0.0004614329],"domain_scores_gemma":[0.99625,0.0001027108,0.0003760828,0.00287039,0.0002155557,0.0001852213],"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":[0.000003737354,0.00003552432,0.00001372044,0.0002276582,0.0001176907,0.0001074421,0.00003244396,0.000005448273,7.114406e-7,3.682796e-7,0.9933866,0.006068673],"study_design_scores_gemma":[0.0001910699,0.00007554902,0.00005225713,0.001915717,0.00006843102,0.000002208649,0.00003932149,0.0003140577,0.00002372033,0.000002464486,0.9967456,0.0005695399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.761036e-7,0.003505673,0.0002387685,0.00004285678,0.0002158491,0.0002705402,0.995427,0.0001315425,0.0001671909],"genre_scores_gemma":[0.000005438083,0.00006938078,0.0004266729,0.0003779186,0.0001671702,0.0002205765,0.9981964,0.00001639162,0.0005200163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07764646,"threshold_uncertainty_score":0.9997571,"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."}}