{"id":"W2252848846","doi":"10.1101/pdb.top069948","title":"Methods to Study Metastasis in Genetically Modified Mice","year":2016,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"Institut de Recherche Clinique De Montréal","keywords":"Xenotransplantation; Metastasis; Transgene; Genetically modified organism; Genetically modified mouse; Biology; Cancer; Cancer research; Mammary tumor; Gene knockout; Gene; Computational biology; Breast cancer; Medicine; Transplantation; Genetics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001401022,0.0002342842,0.0005648038,0.0002394726,0.00004408995,0.00003564787,0.0002265401,0.00006553924,0.0002203391],"category_scores_gemma":[0.0003586913,0.0001661852,0.0001186693,0.0004588511,0.00003345347,0.00005858657,0.0001642962,0.00014616,0.00007924725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890129,"about_ca_system_score_gemma":0.000152183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054939,"about_ca_topic_score_gemma":0.00003273253,"domain_scores_codex":[0.997864,0.0002425701,0.0005026143,0.0005857745,0.0003357368,0.0004693004],"domain_scores_gemma":[0.9985824,0.0001476824,0.0000781002,0.0007186182,0.0001195918,0.0003535655],"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":[0.0007898863,0.001116599,0.009113664,0.0001215593,0.0001470679,0.0001031965,0.0001341953,0.000009341246,0.8922595,0.001436247,0.00008778843,0.09468097],"study_design_scores_gemma":[0.008112111,0.00146864,0.1043185,0.0005014103,0.0001689677,0.000001926575,0.00003576779,0.00002385731,0.7759675,0.00003353337,0.1089677,0.0004000134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5690525,0.0001859774,0.09430943,0.00216968,0.0001718833,0.3325345,0.0000224221,0.0002326181,0.001320993],"genre_scores_gemma":[0.5915352,0.000005704549,0.1735177,0.000516989,0.0001284115,0.2338938,7.735591e-8,0.00006537948,0.0003367828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116292,"threshold_uncertainty_score":0.6776835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06685305413315507,"score_gpt":0.3998574596950572,"score_spread":0.3330044055619021,"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."}}