{"id":"W6902218777","doi":"10.6084/m9.figshare.22616572.v1","title":"Additional file 2 of Potential clinical utility of liquid biopsy in early-stage non-small cell lung cancer","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Liquid biopsy; Concordance; Lung cancer; Pathological","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003436668,0.001422627,0.003031281,0.006250876,0.0006694395,0.001874691,0.001723834,0.001699191,0.8410414],"category_scores_gemma":[0.04989535,0.0006896816,0.002794035,0.006431905,0.0003100499,0.002906878,0.001400678,0.0009254511,0.05893064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779966,"about_ca_system_score_gemma":0.002863125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004751717,"about_ca_topic_score_gemma":0.01085363,"domain_scores_codex":[0.9979029,0.0004332158,0.0007990682,0.0003176855,0.0003616486,0.00018554],"domain_scores_gemma":[0.9401439,0.04890346,0.005184768,0.001145775,0.004104721,0.0005173543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002108634,0.0001343635,0.004559939,0.2606322,0.0008881491,0.0002374572,0.0002217786,0.0009063433,0.0004547313,0.00228661,0.6992671,0.02830265],"study_design_scores_gemma":[0.02226736,0.0008436909,0.04284529,0.1225859,0.003417835,0.001484881,0.0009074672,0.003145349,0.001386292,0.01910407,0.7816344,0.0003774569],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002614455,0.0002880224,0.0002716405,0.0002280303,0.00003956085,0.0005345398,0.9971898,0.0001443216,0.001042657],"genre_scores_gemma":[0.02295216,0.002501082,0.01188054,0.002723664,0.0005742637,0.02854279,0.8989888,0.001016145,0.03082056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8410414,"threshold_uncertainty_score":0.226735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157303547474214,"score_gpt":0.3589488563716697,"score_spread":0.3173758208969276,"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."}}