{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00237514,0.001620968,0.001564611,0.004617681,0.0007409221,0.001598084,0.002828465,0.001700669,0.01803464],"category_scores_gemma":[0.00271765,0.0008399215,0.001263192,0.003524014,0.0003778106,0.001010637,0.001902865,0.00193883,0.01451323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007618316,"about_ca_system_score_gemma":0.001735466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502537,"about_ca_topic_score_gemma":0.004892033,"domain_scores_codex":[0.9984909,0.0002253582,0.0002985988,0.0003271388,0.0005488468,0.000109127],"domain_scores_gemma":[0.997977,0.0004893758,0.0002062581,0.0007264282,0.0003466133,0.0002543666],"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":[0.002852078,0.0008619911,0.01552372,0.004012291,0.0009521783,0.00144088,0.0002348163,0.008956206,0.09526224,0.01179982,0.7814034,0.07670031],"study_design_scores_gemma":[0.0008185421,0.0004818271,0.01500677,0.0003572251,0.0005267696,0.002015497,0.00008543268,0.009187783,0.02930724,0.01047795,0.9315798,0.0001551788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008146027,0.001096721,0.02326264,0.000325714,0.0001380241,0.0003779924,0.9509075,0.01140805,0.004337396],"genre_scores_gemma":[0.0050003,0.0004773773,0.01162387,0.0001712135,0.00001519101,0.0006373711,0.979996,0.0008150204,0.001263661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01803464,"threshold_uncertainty_score":0.06033188,"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."}}