{"id":"W4392282412","doi":"10.1101/2024.02.28.582577","title":"A Lung Cancer Mouse Model Database","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Texas Southwestern Medical Center","keywords":"Lung cancer; Database; Computer science; Medicine; Internal medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006093137,0.0007790554,0.001002909,0.000523328,0.0001626682,0.0002217339,0.0005376841,0.0004517442,0.0001238201],"category_scores_gemma":[0.0003456542,0.0007240834,0.0002938487,0.0005996411,0.000232147,0.0001196981,0.002807327,0.00238864,0.000138873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736071,"about_ca_system_score_gemma":0.004008783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004300943,"about_ca_topic_score_gemma":0.00001800805,"domain_scores_codex":[0.9956697,0.00007270968,0.0005719691,0.001630849,0.001070138,0.0009846991],"domain_scores_gemma":[0.9961411,0.00005457046,0.0001917692,0.002205221,0.0007821082,0.0006252777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000271502,0.0003076471,0.005887813,0.01611507,0.002576513,0.0006387737,0.00005657677,0.0007740985,0.914214,0.0009791987,0.0581758,0.000003033045],"study_design_scores_gemma":[0.003850619,0.00018653,0.007331855,0.01431969,0.004618118,7.876529e-8,0.000012042,0.2071302,0.7439041,0.00001591017,0.01514071,0.003490148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233648,0.05640541,0.001259119,0.005274064,0.002156743,0.003637447,0.005798066,0.001972244,0.0001321414],"genre_scores_gemma":[0.9830372,0.006931449,0.004879008,0.0007457637,0.001458674,0.002098967,0.000001465528,0.0003974317,0.0004500832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063561,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869371616307937,"score_gpt":0.320126543131461,"score_spread":0.2914328269683816,"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."}}