{"id":"W1633890482","doi":"10.1158/1538-7445.am2015-2488","title":"Abstract 2488: FGFR4 as a potential therapeutic target for monoclonal antibody based intervention in rhabdomyosarcoma","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Monoclonal antibody; Alveolar rhabdomyosarcoma; Cancer research; Antibody; Fibroblast growth factor receptor 4; Immunohistochemistry; Embryonal rhabdomyosarcoma; Immunogen; Biology; Cancer; Molecular biology; Medicine; Pathology; Immunology; Rhabdomyosarcoma; Sarcoma; Receptor; Internal medicine; Fibroblast growth factor; Fibroblast growth factor receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001733018,0.0001645045,0.000174402,0.0002759939,0.00009011692,0.00008568768,0.0004749086,0.0001989068,0.0001958429],"category_scores_gemma":[0.0002787893,0.0001599384,0.0001489658,0.0002905658,0.0001974651,0.00001399652,0.0001834811,0.0003955833,0.00004664966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814682,"about_ca_system_score_gemma":0.0008512963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007189298,"about_ca_topic_score_gemma":0.0001415312,"domain_scores_codex":[0.997523,0.0002597591,0.0002678385,0.0005307111,0.0006632421,0.00075546],"domain_scores_gemma":[0.9987673,0.00005627964,0.00004774384,0.0003727046,0.0005167975,0.0002391977],"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":[0.002328317,0.0002250515,0.00523098,0.0001287624,0.00004824374,0.0000164669,0.00003385042,0.0004253987,0.9836815,0.0000632122,0.002233709,0.005584516],"study_design_scores_gemma":[0.006699916,0.002446587,0.0231684,0.0001529176,0.000007554997,0.000009819869,0.000258621,0.00252289,0.9276794,0.002075378,0.03456247,0.0004160558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925774,0.002501032,0.002563601,0.0007893859,0.0001658716,0.0009156477,0.0000768326,0.00001310645,0.0003970668],"genre_scores_gemma":[0.9976155,0.00004864776,0.0004037225,0.00005587077,0.0003254276,0.0004755266,0.0003148075,0.00005017662,0.0007103689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05600211,"threshold_uncertainty_score":0.6522098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07861003281696348,"score_gpt":0.4443510188095365,"score_spread":0.365740985992573,"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."}}