{"id":"W2986281301","doi":"10.1093/neuonc/noz175.1140","title":"TMOD-41. ORTHOTOPIC PATIENT-DERIVED XENOGRAFT MODELS OF BRAIN METASTASIS: PLATFORMS FOR PRECISION ONCOLOGY AND UNDERSTANDING TUMOR BIOLOGY","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Princess Margaret Cancer Centre; Occupational Cancer Research Centre","funders":"","keywords":"Medicine; Cancer research; Cancer; Targeted therapy; Metastasis; Immunohistochemistry; Breast cancer; Pathology; Oncology; 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":[0.0006333849,0.0005643331,0.0003992732,0.0005673955,0.0002627231,0.0007069343,0.0004684776,0.0005148363,0.003187095],"category_scores_gemma":[0.000173088,0.0002787859,0.0003566942,0.0004525668,0.0004023485,0.0005241915,0.0003623439,0.001495701,0.0007604749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394238,"about_ca_system_score_gemma":0.0005040094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139982,"about_ca_topic_score_gemma":0.002015542,"domain_scores_codex":[0.9997115,0.00006721608,0.00002090525,0.00005442063,0.00009698252,0.00004904655],"domain_scores_gemma":[0.9998198,0.00003068221,0.00004627669,0.00004060443,0.00002385066,0.00003885221],"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":[0.0003245392,0.0002837346,0.0009087619,0.000237835,0.00002851594,0.0001630602,0.0000518371,0.0007886328,0.9878471,0.001520733,0.001185915,0.006659359],"study_design_scores_gemma":[0.0001312638,0.002562148,0.005218295,0.00004155282,0.00007379204,0.001051981,0.0001143385,0.005002917,0.9649904,0.0006127481,0.02018082,0.00001975901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133158,0.009700458,0.05245757,0.001484926,0.0003898876,0.0006754406,0.007434961,0.0009318716,0.01360908],"genre_scores_gemma":[0.9543142,0.005409252,0.02671113,0.0001998645,0.00003535464,0.0004931208,0.003815564,0.00007392774,0.008947526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003187095,"threshold_uncertainty_score":0.0106619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700968200232243,"score_gpt":0.3308375232073462,"score_spread":0.2607407031841219,"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."}}