{"id":"W2116833686","doi":"10.1093/neuonc/nou208.52","title":"GLIOMA SPECIFIC PEPTIDES: A PLATFORM FOR MOLECULAR IMAGING AND THERAPEUTIC TARGETING","year":2014,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Glioma; Biopanning; In vivo; Cancer research; Cancer stem cell; Stem cell; Clonogenic assay; Phage display; Biology; Medicine; Peptide library; Immunology; Antibody; Cell biology","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":[0.000188868,0.0005712419,0.0002411427,0.0002514329,0.0001106065,0.0003636935,0.0002783113,0.0005290593,0.001102641],"category_scores_gemma":[0.0001359275,0.0001429353,0.0001698039,0.0001404415,0.0001998857,0.0002557315,0.0002948112,0.0006717168,0.0006654828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002460202,"about_ca_system_score_gemma":0.0001441393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020072,"about_ca_topic_score_gemma":0.0001277117,"domain_scores_codex":[0.9998903,0.00002295207,0.000003958925,0.00002335671,0.00003656224,0.00002287199],"domain_scores_gemma":[0.9999359,0.00001225413,0.00001530692,0.00000602027,0.00001079504,0.00001977013],"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":[0.00003960527,0.00002563709,0.00005698245,0.00005989842,0.000004165362,0.00008104827,0.000006378802,0.0003452535,0.9927366,0.0003868669,0.0001351287,0.0061225],"study_design_scores_gemma":[0.00004200817,0.0009311894,0.001107804,0.00002432323,0.00002592512,0.001109783,0.00001742007,0.003155728,0.9760305,0.0004927714,0.01704659,0.00001590681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339679,0.0272461,0.1202442,0.001079953,0.0003556591,0.0006171332,0.0009545867,0.0005679256,0.01496666],"genre_scores_gemma":[0.9182132,0.007764306,0.06685477,0.0005379203,0.0001129026,0.0002799317,0.0007855979,0.00004859921,0.005402823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102641,"threshold_uncertainty_score":0.003688633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121307759993704,"score_gpt":0.3313488975852148,"score_spread":0.3001358199852778,"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."}}