{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01044096,0.00115873,0.001087068,0.002193327,0.0004074484,0.001488482,0.001080933,0.0008689322,0.001438698],"category_scores_gemma":[0.01910073,0.0004264655,0.001593641,0.0007363282,0.0004307283,0.0005978802,0.001250625,0.001065641,0.0003969443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008316332,"about_ca_system_score_gemma":0.00118029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00517032,"about_ca_topic_score_gemma":0.003334826,"domain_scores_codex":[0.9976834,0.001289917,0.0001702948,0.0003998096,0.0003026499,0.0001538138],"domain_scores_gemma":[0.9909369,0.006041192,0.00120286,0.0003875998,0.001053386,0.0003780798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001048208,0.0003427072,0.8956215,0.00008500527,0.0007294507,0.0001745746,0.0001281075,0.06810376,0.0005633488,0.0004591386,0.001676177,0.03106808],"study_design_scores_gemma":[0.0001677939,0.0007930366,0.1176006,0.0000599423,0.0003613383,0.0002629131,0.0001254322,0.8784586,0.0004800062,0.0009868488,0.0006631158,0.00004038811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948599,0.000297589,0.04814773,0.0004965143,0.00005324274,0.0002336852,0.001124633,0.0002814266,0.0007661307],"genre_scores_gemma":[0.9859831,0.00007211789,0.01248672,0.00004501064,0.00002583548,0.000108324,0.001046786,0.00001405143,0.0002180051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01044096,"threshold_uncertainty_score":0.05521774,"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."}}