{"id":"W2911146996","doi":"10.1080/23723556.2018.1558684","title":"Patient-derived xenografts: a promising resource for preclinical cancer research","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"CDKN2A; Medicine; Cancer research; Head and neck squamous-cell carcinoma; Cancer; Cyclin D1; Kinase; Oncology; Head and neck cancer; Internal medicine; Cell cycle; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005706429,0.00111578,0.00199614,0.001680031,0.000482326,0.002263162,0.001819553,0.001626119,0.0170877],"category_scores_gemma":[0.002669962,0.0006874721,0.0009304344,0.001134214,0.0005257928,0.002016909,0.001475334,0.00409823,0.007977806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005080333,"about_ca_system_score_gemma":0.000882484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188991,"about_ca_topic_score_gemma":0.000760742,"domain_scores_codex":[0.9980136,0.0009537485,0.0001455017,0.0002238259,0.0005040364,0.0001591861],"domain_scores_gemma":[0.9970037,0.0009762862,0.0001976722,0.0009640632,0.0004002328,0.0004581215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00546068,0.01003741,0.00881007,0.002587867,0.0006813072,0.003357626,0.0003679041,0.006466082,0.6753612,0.02077905,0.09202378,0.174067],"study_design_scores_gemma":[0.002834658,0.02455866,0.009217004,0.000910037,0.0009255271,0.01307441,0.0004793432,0.01157475,0.408687,0.01330889,0.5141919,0.0002379195],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2301045,0.08361444,0.4854762,0.01081914,0.006028529,0.01365296,0.1074397,0.007795115,0.05506947],"genre_scores_gemma":[0.49219,0.06354842,0.2301687,0.003353785,0.001528682,0.01103533,0.1726921,0.001846242,0.02363672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0170877,"threshold_uncertainty_score":0.05716407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900352730484567,"score_gpt":0.4241254938912983,"score_spread":0.3651219665864527,"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."}}