{"id":"W4387825576","doi":"10.1016/j.annonc.2023.09.2003","title":"857O MACH-EGFR: Individual patient data (IPD) meta-analysis of anti-EGFR monoclonal antibodies (Ab) in patients (pts) with locally advanced (LA) squamous cell carcinomas of head and neck (SCCHN)","year":2023,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Ipsen; Seagen; Sanofi; AstraZeneca","keywords":"Medicine; Cetuximab; Nimotuzumab; Panitumumab; Internal medicine; Oncology; Epidermal growth factor receptor; Head and neck cancer; EGFR inhibitors; Cancer; Colorectal cancer","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00637792,0.00147774,0.004521891,0.00114672,0.0004252274,0.002022011,0.001140446,0.00162121,0.003012739],"category_scores_gemma":[0.00829957,0.001161195,0.02391575,0.001782358,0.0004857035,0.001239161,0.00131262,0.002016562,0.000425678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004711625,"about_ca_system_score_gemma":0.000440901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503935,"about_ca_topic_score_gemma":0.007858126,"domain_scores_codex":[0.9949007,0.002624507,0.0006356315,0.001260979,0.0003244456,0.000253726],"domain_scores_gemma":[0.9952335,0.002871755,0.0006945765,0.0007447838,0.0002645056,0.0001910466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02380299,0.00004668037,0.1406477,0.007357191,0.8175539,0.0001969988,0.00008189004,0.0008641563,0.001536651,0.0001989066,0.001017868,0.006695224],"study_design_scores_gemma":[0.002356246,0.0008551303,0.08149083,0.0004096726,0.9103194,0.0002201031,0.00009037089,0.000918627,0.0004314001,0.0003846685,0.002486098,0.00003753327],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5853143,0.3957212,0.005257749,0.00104901,0.00154094,0.0001833201,0.007509192,0.0002593405,0.00316496],"genre_scores_gemma":[0.9887939,0.007486023,0.0008110977,0.0005484727,0.000260983,0.00007107196,0.00125092,0.00004154749,0.0007361533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954781,"threshold_uncertainty_score":0.03373009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529041402818018,"score_gpt":0.3882769679948572,"score_spread":0.2353728277130553,"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."}}