{"id":"W2516744702","doi":"10.5858/arpa.2015-0316-oa","title":"Morphologic Accuracy in Differentiating Primary Lung Adenocarcinoma From Squamous Cell Carcinoma in Cytology Specimens","year":2016,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Hospital","funders":"National Cancer Institute","keywords":"Medicine; Lung cancer; Adenocarcinoma; Pathology; Cytopathology; Large cell; Carcinoma; Small Cell Lung Carcinoma; Anaplastic lymphoma kinase; Lung; Lymph node; Papanicolaou stain; Not Otherwise Specified; Anaplastic carcinoma; Squamous-cell carcinoma of the lung; Epidermal growth factor receptor; Stage (stratigraphy); Cytology; Cancer; Small-cell carcinoma; Internal medicine; Cervical cancer; 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":[0.009172638,0.0004296025,0.0004011752,0.00247037,0.0005347392,0.001404095,0.0008536328,0.0009315796,0.001199339],"category_scores_gemma":[0.03772525,0.0003709179,0.0003402373,0.0008113022,0.0008589125,0.0007284714,0.0009774631,0.0002667489,0.0007775964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005133841,"about_ca_system_score_gemma":0.000369072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692336,"about_ca_topic_score_gemma":0.003870299,"domain_scores_codex":[0.9936147,0.002309699,0.001627797,0.0007924117,0.001385578,0.0002697341],"domain_scores_gemma":[0.9758445,0.01334655,0.003310547,0.002150178,0.004534008,0.0008143542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004150353,0.00001599985,0.98805,0.00005695171,0.00005955718,0.0001389956,0.0001485685,0.0001404327,0.002548048,0.00001299753,0.0001224555,0.00829099],"study_design_scores_gemma":[0.00003840742,0.0004443933,0.9800566,0.0001014752,0.0002120409,0.005625463,0.0005719058,0.004599251,0.007047092,0.0001447212,0.001140291,0.00001837304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933809,0.002642939,0.002549201,0.00009408253,0.00006551691,0.00003933701,0.0001525496,0.00006848123,0.00100699],"genre_scores_gemma":[0.9974631,0.0003581285,0.001848291,0.00002596713,0.00002455786,0.000007822096,0.0001346302,0.000008973741,0.0001285414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009172638,"threshold_uncertainty_score":0.04851007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011432390283195,"score_gpt":0.2782713141924371,"score_spread":0.2668389239092421,"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."}}