{"id":"W2981115842","doi":"10.1158/1078-0432.ccr-19-1164","title":"Lucitanib for the Treatment of HR+/HER2− Metastatic Breast Cancer: Results from the Multicohort Phase II FINESSE Study","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Institut de Recherches Servier; Servier","keywords":"Medicine; Internal medicine; Clinical endpoint; Oncology; Breast cancer; Metastatic breast cancer; Fibroblast growth factor receptor 1; Cohort; Cancer; Adverse effect; Randomized controlled trial; 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":[0.002771017,0.0002258441,0.0004426823,0.00004328202,0.0003294954,0.00005145732,0.0009562588,0.0001250352,0.0002707641],"category_scores_gemma":[0.00095002,0.0001189222,0.0002932038,0.0003194976,0.0005319907,0.000007791639,0.0003382829,0.0003647113,0.00002177585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099161,"about_ca_system_score_gemma":0.0007255498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008355353,"about_ca_topic_score_gemma":0.003409965,"domain_scores_codex":[0.9961492,0.0008219018,0.0007713306,0.0008471648,0.0007825202,0.0006278421],"domain_scores_gemma":[0.9939322,0.003491859,0.0001584952,0.001474766,0.0007755319,0.0001671113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08176089,0.02784145,0.3552704,0.0002039907,0.006933634,0.00002552945,0.003382617,0.0006061377,0.2365841,0.00005844231,0.03786344,0.2494694],"study_design_scores_gemma":[0.08370458,0.06444035,0.5537151,0.00026779,0.0006819587,0.000005647461,0.005166382,0.004026618,0.07482174,0.0002104254,0.2120005,0.0009588811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861599,0.002363264,0.00002505578,0.003463742,0.0003428802,0.004011868,0.003587137,0.00000752916,0.00003866264],"genre_scores_gemma":[0.9932004,0.002469734,0.00005054244,0.00006785649,0.0007623931,0.001323659,0.0001306133,0.00004781232,0.001947019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2485105,"threshold_uncertainty_score":0.9982481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1920115313090569,"score_gpt":0.5330753072108346,"score_spread":0.3410637759017777,"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."}}