{"id":"W4386173974","doi":"10.1016/j.vaa.2023.07.005","title":"Claudio Correa Natalini","year":2023,"lang":"en","type":"article","venue":"Veterinary Anaesthesia and Analgesia","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"State (computer science); Medicine; Library 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":[0.0001176802,0.0001311232,0.0002186935,0.0001800852,0.00009204131,0.00001914319,0.00005389216,0.00007532343,0.0000857504],"category_scores_gemma":[0.000006909578,0.0001111566,0.00007540893,0.0003131694,0.00006326049,0.00007147278,0.00001774588,0.0001006404,0.0001106532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009953074,"about_ca_system_score_gemma":0.00002164016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001242457,"about_ca_topic_score_gemma":6.690062e-7,"domain_scores_codex":[0.9992622,0.00002445997,0.0001675714,0.0002178143,0.0001294072,0.0001986074],"domain_scores_gemma":[0.999624,0.00002145937,0.00003403263,0.0001719963,0.00001988758,0.0001286828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001846039,0.0003582399,0.7235332,0.003126894,0.0003274546,0.03313221,0.001811562,0.000004299175,0.03605188,0.01541643,0.02939564,0.1549962],"study_design_scores_gemma":[0.0009275768,0.002034432,0.9388993,0.000158679,0.0001211635,0.002112494,0.0002198929,0.0003030128,0.001857009,0.0003694569,0.05270931,0.0002876922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956351,0.0001830638,0.0001307363,0.002452308,0.00004142228,0.0001361719,0.000006642698,0.0004551455,0.0009594169],"genre_scores_gemma":[0.9927453,0.004158781,0.0006420173,0.0008360489,0.00005776242,0.00001056293,0.0000638686,0.0000231214,0.001462508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2153661,"threshold_uncertainty_score":0.4532833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129847425206549,"score_gpt":0.3022948600842873,"score_spread":0.2709963858322218,"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."}}