{"id":"W7030255881","doi":"","title":"Monitorización farmacocinética de anticuerpos monoclonales","year":2016,"lang":"es","type":"dissertation","venue":"Deposito de Investigacion Universidad de Sevilla (University of Seville)","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; STAT2","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000763012,0.0009107994,0.001421363,0.0008652662,0.001092443,0.00005717622,0.001375466,0.00296082,0.0008678106],"category_scores_gemma":[0.00022771,0.0009907935,0.0008992406,0.0006984565,0.001530928,0.0003501624,0.0003245028,0.001276867,0.0001645141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009765428,"about_ca_system_score_gemma":0.001330056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613255,"about_ca_topic_score_gemma":0.0001575037,"domain_scores_codex":[0.9951102,0.00151358,0.0006034766,0.001091896,0.0002727595,0.00140813],"domain_scores_gemma":[0.9963773,0.0007512356,0.0009426049,0.0007287241,0.000589146,0.0006109266],"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":[0.00232301,0.0004251298,0.03773832,0.001370811,0.002869052,0.0008937247,0.004795769,0.00002852516,0.9168554,0.00976507,0.005916083,0.01701912],"study_design_scores_gemma":[0.01053614,0.002246293,0.1462693,0.008112923,0.00952799,0.001205014,0.04605186,0.001228574,0.5801951,0.002415794,0.1870602,0.005150898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640803,0.005307745,0.005550377,0.003968451,0.001132313,0.0007727565,0.0005113911,0.0002326908,0.01844396],"genre_scores_gemma":[0.9493669,0.01493806,0.01358871,0.000513053,0.000246171,0.000001176994,0.0002797827,0.0001132387,0.02095285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3366604,"threshold_uncertainty_score":0.9992542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134390071225739,"score_gpt":0.2605217824161099,"score_spread":0.2491778817038525,"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."}}