{"id":"W2084255745","doi":"10.3747/co.v17i4.696","title":"Cetuximab in Locally Advanced Head-And-Neck Cancer: Defining the Population","year":2010,"lang":"en","type":"article","venue":"Current Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Cetuximab; Medicine; Head and neck cancer; Oncology; Epidermal growth factor receptor; Head and neck; Head and neck squamous-cell carcinoma; Squamous cell cancer; Cancer; Population; Internal medicine; Radiation therapy; Targeted therapy; Guideline; EGFR inhibitors; Clinical trial; Colorectal cancer; Pathology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008099684,0.0002439852,0.000790555,0.002110768,0.0005931499,0.001768049,0.0007118901,0.0009576894,0.001491069],"category_scores_gemma":[0.008924828,0.0001733406,0.0003915262,0.001930784,0.0008571338,0.001927411,0.001597219,0.0006671876,0.0004582301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042389,"about_ca_system_score_gemma":0.001248154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007170983,"about_ca_topic_score_gemma":0.008075865,"domain_scores_codex":[0.9938871,0.003624662,0.0008370609,0.00043157,0.0009215515,0.000298069],"domain_scores_gemma":[0.9976463,0.0008928695,0.0005127458,0.0001363472,0.0005111371,0.0003005946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003192293,0.0005680497,0.7413343,0.002035919,0.0004186699,0.0007976578,0.004735258,0.0005398564,0.00394444,0.01542887,0.007971613,0.2190331],"study_design_scores_gemma":[0.0005680774,0.006067024,0.816124,0.002086079,0.0007985869,0.00439364,0.01346281,0.001276131,0.003058247,0.008505503,0.143564,0.00009588149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852728,0.162003,0.006574556,0.01511803,0.0004305139,0.001453127,0.00309455,0.00003200336,0.02602144],"genre_scores_gemma":[0.9544019,0.0322415,0.002708482,0.004265352,0.0006135993,0.001483078,0.001386235,0.000018488,0.002881377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008099684,"threshold_uncertainty_score":0.04283577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05998762442988314,"score_gpt":0.4254385845043386,"score_spread":0.3654509600744555,"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."}}