{"id":"W2231730507","doi":"10.1242/dmm.023143","title":"Use of a genetically engineered mouse model as a preclinical tool for HER2 breast cancer","year":2015,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Indian Council of Medical Research; World Cancer Research Fund; Cancer Research UK; AstraZeneca","keywords":"Genetically engineered; Breast cancer; Genetically modified organism; Cancer; Computational biology; Biology; Medicine; Cancer research; Genetics; Gene","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":[0.001171629,0.001350674,0.0007429393,0.001929635,0.0005579532,0.000929783,0.001162322,0.001572795,0.004223687],"category_scores_gemma":[0.000424675,0.000558386,0.0007744488,0.0005146889,0.0006506228,0.0009977359,0.0005896268,0.003318417,0.001374402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007542737,"about_ca_system_score_gemma":0.0006164537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007300044,"about_ca_topic_score_gemma":0.001313913,"domain_scores_codex":[0.9989967,0.0001946367,0.0001266656,0.0002145893,0.0002983346,0.0001690338],"domain_scores_gemma":[0.9992912,0.0001503511,0.0001583549,0.0001639071,0.00009289436,0.0001432687],"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":[0.0003988791,0.0005437559,0.000319782,0.000138011,0.0000265922,0.0001558888,0.0000530963,0.0002931833,0.9914864,0.001752303,0.0004351501,0.004396934],"study_design_scores_gemma":[0.0001288109,0.003116487,0.00134073,0.00005345225,0.00007373857,0.0008686153,0.0000447474,0.002405492,0.9747576,0.0004243637,0.01676343,0.00002242714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478339,0.007851496,0.1126392,0.002173057,0.001478969,0.00231503,0.006575733,0.002929893,0.0162027],"genre_scores_gemma":[0.8739005,0.008142229,0.07613459,0.0007012881,0.0001831603,0.003849423,0.006774852,0.000502267,0.02981187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004223687,"threshold_uncertainty_score":0.01412958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1813091199927425,"score_gpt":0.4036788950936382,"score_spread":0.2223697751008957,"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."}}