{"id":"W4393042540","doi":"10.14740/wjon1763","title":"Pigs: Large Animal Preclinical Cancer Models","year":2024,"lang":"en","type":"article","venue":"World Journal of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Medicine, University of Missouri; National Institutes of Health; National Synchrotron Radiation Research Center; National Cancer Institute; University of Missouri","keywords":"Medicine; Cancer; Human disease; Animal model; Translational research; Bioinformatics; Disease; Pathology; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000399762,0.0001026636,0.0002273894,0.00009731912,0.00003292788,0.00002881376,0.000182481,0.000121448,0.0001496773],"category_scores_gemma":[0.0001004889,0.00008868047,0.0001791723,0.0001017828,0.00005287246,0.000006119994,0.00009636215,0.0002575585,0.000008011628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008390572,"about_ca_system_score_gemma":0.0007755504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032277,"about_ca_topic_score_gemma":0.000494606,"domain_scores_codex":[0.9990553,0.00005022793,0.0004039653,0.0001729047,0.0000986283,0.0002189948],"domain_scores_gemma":[0.9993787,0.0001264385,0.0001321279,0.0001210367,0.0001232543,0.0001184708],"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":[0.002436329,0.0009655677,0.006746456,0.000136599,0.001197605,0.000916797,0.0004576412,0.004432235,0.1467095,0.01925068,0.6601548,0.1565958],"study_design_scores_gemma":[0.0007125011,0.001352054,0.0006606603,0.0000497459,0.00008276496,0.0001566622,0.00002591347,0.001070512,0.002287527,0.001193162,0.9922875,0.0001209961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454354,0.1106576,0.006294233,0.0101916,0.006522908,0.0002371897,0.0001864593,0.00001993607,0.02045462],"genre_scores_gemma":[0.9882101,0.006359568,0.0008559758,0.00113941,0.002314119,0.000006420351,0.000007263228,0.00002191087,0.001085235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3321328,"threshold_uncertainty_score":0.3616284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264019237975433,"score_gpt":0.3682523135831512,"score_spread":0.3356121212033968,"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."}}