{"id":"W3208915748","doi":"10.3390/cancers13215313","title":"3p Arm Loss and Survival in Head and Neck Cancer: An Analysis of TCGA Dataset","year":2021,"lang":"en","type":"article","venue":"Cancers","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Head and neck cancer; Head and neck; Medicine; Oncology; Internal medicine; Cancer; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008155948,0.0005638553,0.001439527,0.002475848,0.000508132,0.0009582036,0.001130669,0.0008381419,0.001982997],"category_scores_gemma":[0.003118534,0.0002824091,0.001282528,0.004445528,0.0002347904,0.0003186135,0.000889101,0.0005987224,0.0004403394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137895,"about_ca_system_score_gemma":0.001525191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07495993,"about_ca_topic_score_gemma":0.1184777,"domain_scores_codex":[0.9993781,0.00008854352,0.00007213972,0.0002307936,0.0001240424,0.0001062786],"domain_scores_gemma":[0.9987041,0.0004836005,0.0002017395,0.0002530904,0.0002242502,0.0001331414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002391957,0.0001660489,0.8694515,0.002048948,0.007107364,0.001127258,0.0002335995,0.01047152,0.002499473,0.0004443047,0.07513916,0.02891888],"study_design_scores_gemma":[0.0002726921,0.00008948612,0.9729205,0.0001760646,0.00247831,0.0009775184,0.0001849399,0.008914949,0.0004293436,0.0004207501,0.01307887,0.00005654945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7280267,0.006249938,0.0006857042,0.000491806,0.00006560396,0.000082728,0.2625524,0.0001891842,0.001655868],"genre_scores_gemma":[0.6891713,0.001683154,0.0007047612,0.0002567815,0.00004549191,0.0002518336,0.3069496,0.0000847067,0.0008524777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07495993,"threshold_uncertainty_score":0.1490473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859752849195852,"score_gpt":0.3554982145853367,"score_spread":0.3169006860933782,"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."}}