{"id":"W2028516615","doi":"10.1093/neuonc/noq116.s20","title":"Tumor Models (In Vivo/In Vitro)","year":2010,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; University of Calgary","funders":"","keywords":"In vivo; In vitro; Computer science; Computational biology; Biology; Genetics","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":[0.0009403743,0.001481293,0.0008329258,0.001887231,0.0007066712,0.001286261,0.001147096,0.001060571,0.01119207],"category_scores_gemma":[0.0003432483,0.0004657779,0.001124737,0.0009607473,0.0004972329,0.0009658388,0.000547431,0.003078781,0.008120582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008570505,"about_ca_system_score_gemma":0.0008104912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003601274,"about_ca_topic_score_gemma":0.005153212,"domain_scores_codex":[0.9989925,0.0002268986,0.0001199232,0.0002306252,0.0002679954,0.0001620745],"domain_scores_gemma":[0.9990989,0.0001526779,0.0001664511,0.0002459263,0.0001767205,0.0001592209],"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":[0.000584907,0.0007991228,0.0006675498,0.0004638651,0.00004426706,0.0004636815,0.0001393409,0.0006902387,0.9842673,0.001751388,0.003060502,0.007067845],"study_design_scores_gemma":[0.00003766651,0.000716856,0.001048536,0.00004183745,0.00008975,0.0007385059,0.00006772392,0.0008005889,0.9814291,0.0002894409,0.0147265,0.00001355504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5412865,0.02995664,0.2551144,0.003512028,0.003843119,0.002763331,0.05229639,0.007081924,0.1041457],"genre_scores_gemma":[0.7496725,0.02337466,0.07367171,0.001267158,0.0005312656,0.002370611,0.02777519,0.001357186,0.1199797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119207,"threshold_uncertainty_score":0.03744125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565756100643476,"score_gpt":0.3075053968068196,"score_spread":0.2918478358003849,"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."}}