{"id":"W2955519268","doi":"10.2139/ssrn.3294079","title":"Identification and Verification of a Biomarker Panel for Early Diagnosis of Lung Cancer Patients","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre","funders":"","keywords":"Lung cancer; Biomarker; Identification (biology); Medicine; Oncology; Internal medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009085205,0.0004724325,0.0006648536,0.001738612,0.0004326888,0.001103504,0.0005054511,0.001161124,0.002726402],"category_scores_gemma":[0.002874557,0.0002434391,0.0005005341,0.0007514342,0.0002174812,0.0005386414,0.0004302373,0.0007736912,0.001040441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890574,"about_ca_system_score_gemma":0.0006148703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123361,"about_ca_topic_score_gemma":0.001830511,"domain_scores_codex":[0.9992563,0.0001315935,0.0001246258,0.000136142,0.0002515632,0.00009977373],"domain_scores_gemma":[0.9989236,0.0003325978,0.0002179531,0.00006339789,0.0003536661,0.0001087872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001148028,0.000323385,0.8581984,0.0001864877,0.000160879,0.001703548,0.0001465747,0.0006468779,0.05215601,0.0006629906,0.005213642,0.0794531],"study_design_scores_gemma":[0.0001644573,0.001812136,0.8492873,0.0004101825,0.0006216534,0.01027931,0.0006667456,0.01049673,0.09507978,0.00265144,0.02845471,0.00007553514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734643,0.007480697,0.005281162,0.002441223,0.0003912848,0.0001385785,0.003577802,0.0002354747,0.00698961],"genre_scores_gemma":[0.988211,0.00114436,0.005581406,0.0007157394,0.0001192176,0.00005867745,0.002288491,0.00001821043,0.001862909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002726402,"threshold_uncertainty_score":0.009120762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417054437757194,"score_gpt":0.327747914319949,"score_spread":0.3135773699423771,"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."}}