{"id":"W2344809502","doi":"10.1097/01.cot.0000483229.92307.c1","title":"Fast Response to Preoperative Anti-HER2 Combination","year":2016,"lang":"en","type":"article","venue":"Oncology Times","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008418851,0.0001985144,0.0005313286,0.000195415,0.0002339932,0.0007539528,0.0001713384,0.0003862858,0.003368455],"category_scores_gemma":[0.003129971,0.0001324521,0.0004225049,0.0002537044,0.0002051594,0.0005019945,0.0003160817,0.00163085,0.001351753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389709,"about_ca_system_score_gemma":0.0005159454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031474,"about_ca_topic_score_gemma":0.002279116,"domain_scores_codex":[0.9993735,0.0001598635,0.00004699011,0.0001067147,0.0002128191,0.0001001925],"domain_scores_gemma":[0.9986425,0.0005426656,0.000203758,0.0001004052,0.0002507744,0.0002598317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008082797,0.0005847256,0.02924761,0.0007802038,0.0002651665,0.001727741,0.0003776614,0.000786262,0.02038283,0.001602831,0.1494308,0.7867314],"study_design_scores_gemma":[0.004031481,0.01596327,0.2198197,0.0007787204,0.00054286,0.01286062,0.0006776205,0.001875342,0.02739712,0.003993931,0.7118819,0.0001775293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5948352,0.154296,0.01288488,0.1073025,0.01178812,0.0007463818,0.002974701,0.001429421,0.1137428],"genre_scores_gemma":[0.9108016,0.02173948,0.003948804,0.0318454,0.002563811,0.0003259389,0.001962986,0.0002212871,0.0265907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003368455,"threshold_uncertainty_score":0.01126862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470359689473191,"score_gpt":0.3609134151850735,"score_spread":0.3362098182903416,"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."}}