{"id":"W2440039868","doi":"10.1093/neuonc/now080.20","title":"PCM-20PRE-CLINICAL DRUG SCREEN IN A PDX ETMR MOUSE MODEL","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Drug; Chemistry; Pharmacology; 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":[0.0004692895,0.0009184539,0.001082414,0.0008787182,0.000280328,0.000544855,0.0007364717,0.0007577914,0.003836398],"category_scores_gemma":[0.0001589533,0.0002682232,0.0006577179,0.0006738584,0.0003413001,0.0004821868,0.0002322112,0.002035454,0.001768706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006213789,"about_ca_system_score_gemma":0.0007115693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399301,"about_ca_topic_score_gemma":0.002331768,"domain_scores_codex":[0.9996021,0.00005062461,0.00003620284,0.00008590407,0.0001497869,0.00007529175],"domain_scores_gemma":[0.999805,0.00002747469,0.00004103058,0.00003356678,0.00003344834,0.00005943481],"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":[0.001151788,0.001492042,0.0005205199,0.0002332147,0.00005068351,0.0002514292,0.00004011018,0.0008812772,0.9840683,0.0003843685,0.001908966,0.009017271],"study_design_scores_gemma":[0.0004429836,0.008627615,0.003918278,0.00003122674,0.000146322,0.0006867528,0.00005288304,0.002830796,0.9579061,0.0001411075,0.02518948,0.00002646898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945093,0.006919246,0.01065925,0.001029493,0.0003507463,0.001042949,0.02246521,0.00171154,0.01072861],"genre_scores_gemma":[0.9172969,0.008322184,0.01646024,0.0006332487,0.00006075991,0.001435117,0.02861465,0.0002176232,0.02695921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003836398,"threshold_uncertainty_score":0.01283401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893391120150003,"score_gpt":0.3156152104725266,"score_spread":0.2866812992710266,"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."}}