{"id":"W2993207601","doi":"10.2478/jvetres-2019-0002","title":"Occurrence and distribution of canine cutaneous mast cell tumour characteristics among predisposed breeds","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Research","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mast cell; Mast (botany); Distribution (mathematics); Biology; Pathology; Medicine; Immunology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001928232,0.0001703409,0.000648979,0.0004181958,0.00008629045,0.00003270722,0.000326331,0.000163616,0.0002854748],"category_scores_gemma":[0.0003789464,0.0001435828,0.0001122091,0.0004354864,0.0005085038,0.0002132898,0.0003373705,0.001304366,0.00003197848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239851,"about_ca_system_score_gemma":0.000517613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591574,"about_ca_topic_score_gemma":9.837406e-7,"domain_scores_codex":[0.9969082,0.0004090818,0.0007128089,0.0002496019,0.00116759,0.0005527533],"domain_scores_gemma":[0.9972512,0.0004165764,0.0003380627,0.0003262211,0.001267537,0.000400421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006917081,0.0006284591,0.2965059,0.001128951,0.00007650379,0.006344144,0.0003761488,0.000003728313,0.6847062,0.000004995508,0.001288044,0.002019929],"study_design_scores_gemma":[0.00315259,0.05727247,0.8777802,0.0007140542,0.00006209783,0.05486113,0.0005599542,0.0008689171,0.002716157,0.00001331451,0.001811884,0.0001872051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980943,0.0002378454,0.00002991394,0.0002969105,0.0002145479,0.0004858897,0.00021029,0.000008191145,0.0004220729],"genre_scores_gemma":[0.9985527,0.0003580659,0.000205303,0.000008972533,0.0001571184,0.000004980698,0.00005748597,0.00001625126,0.000639095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.68199,"threshold_uncertainty_score":0.5855137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07095846423375764,"score_gpt":0.3814253666929994,"score_spread":0.3104669024592418,"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."}}