{"id":"W2936304635","doi":"10.1111/vec.12838","title":"Development and validation of a hemangiosarcoma likelihood prediction model in dogs presenting with spontaneous hemoabdomen: The HeLP score","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Emergency and Critical Care","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Model validation; Internal medicine; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003486493,0.0001081922,0.0002713153,0.0001287902,0.00006147545,0.000007730331,0.00007076474,0.00007032783,0.00004715369],"category_scores_gemma":[0.00007201736,0.00007143809,0.0000425743,0.0001149011,0.00008918467,0.0001610154,0.0000847182,0.0002751709,6.061263e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005634462,"about_ca_system_score_gemma":0.0001409557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003799195,"about_ca_topic_score_gemma":0.000004071352,"domain_scores_codex":[0.9987769,0.00007831968,0.0004475304,0.0001458067,0.0003468429,0.0002046036],"domain_scores_gemma":[0.9993565,0.00006884224,0.00008106884,0.0001125944,0.0002733843,0.0001076161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01298493,0.001127733,0.7046476,0.007927966,0.0002891005,0.01163829,0.03174842,0.0002233389,0.2187512,0.0003014725,0.0000870106,0.01027292],"study_design_scores_gemma":[0.01052614,0.06240354,0.5597039,0.003333618,0.0005975908,0.2948333,0.04521176,0.01405282,0.006782281,0.001052061,0.000741879,0.0007610845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975736,0.00120577,0.00009198256,0.0005362248,0.00008853118,0.0002541885,0.000003915643,0.00000423532,0.0002415225],"genre_scores_gemma":[0.9969558,0.0001249207,0.002798392,0.00001864552,0.00004804102,0.000007959285,0.000003147125,0.00001133104,0.00003183799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283195,"threshold_uncertainty_score":0.2913161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470752369055449,"score_gpt":0.3420130615871367,"score_spread":0.2949378246815919,"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."}}