{"id":"W4408120277","doi":"10.1016/s1467-2987(25)00041-8","title":"Editorial Board","year":2025,"lang":"en","type":"paratext","venue":"Veterinary Anaesthesia and Analgesia","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Anesthesia","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000358085,0.0004123693,0.0009758668,0.0004488539,0.0002854982,0.0002292819,0.0003823618,0.0003990055,0.01088868],"category_scores_gemma":[0.00002989023,0.0004735725,0.0002434341,0.0002108687,0.0002042805,0.0001876371,0.0002355223,0.0002982376,0.04895326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008162823,"about_ca_system_score_gemma":0.00004899885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002222805,"about_ca_topic_score_gemma":0.000001307441,"domain_scores_codex":[0.99788,0.00002434254,0.0006307435,0.0009748794,0.00005019259,0.0004398645],"domain_scores_gemma":[0.9989924,0.00003967897,0.0003575892,0.0004533709,0.00002968005,0.0001272168],"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":[0.00003505835,0.00003091781,0.0001837016,0.0001197238,0.0001356547,0.00001487574,0.00008371217,0.000003188723,9.197261e-7,0.007553223,0.9912968,0.0005421745],"study_design_scores_gemma":[0.00033386,0.0002119393,0.0002289316,0.00008069751,0.00002239752,0.000004028918,0.00008182369,0.00003200197,8.479499e-7,0.0009106894,0.997607,0.000485795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002002297,0.01379752,0.00007036929,0.0004792898,0.1441838,0.0002240767,0.0008559522,0.00004287071,0.8383438],"genre_scores_gemma":[0.003015402,0.0112299,0.0001494078,0.0003936137,0.01389451,0.00004023709,0.0001068457,0.00003376759,0.9711363],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1327925,"threshold_uncertainty_score":0.9997716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897137116902834,"score_gpt":0.2320738226736507,"score_spread":0.2031024515046224,"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."}}