{"id":"W1973414121","doi":"10.1097/pas.0b013e3181f7dae3","title":"Optimal Immunohistochemical Markers For Distinguishing Lung Adenocarcinomas From Squamous Cell Carcinomas in Small Tumor Samples","year":2010,"lang":"en","type":"article","venue":"The American Journal of Surgical Pathology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Tissue microarray; Pathology; Adenocarcinoma; Medicine; Immunohistochemistry; Biopsy; Lung; Basal cell; Carcinoma; Anatomical pathology; Cancer; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004274474,0.0001736477,0.000637429,0.0001066019,0.00008761625,0.0000171333,0.0002297376,0.00005044779,0.00005561576],"category_scores_gemma":[0.0002598575,0.0001123905,0.0002450099,0.0001535714,0.0005107763,0.00003739817,0.00004798831,0.00066344,0.000001837131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361999,"about_ca_system_score_gemma":0.0002222989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004465104,"about_ca_topic_score_gemma":0.0000262783,"domain_scores_codex":[0.9986572,0.0001211365,0.0005394982,0.0002137275,0.0001346348,0.0003337678],"domain_scores_gemma":[0.9977107,0.001228158,0.000506626,0.0002474006,0.0001416325,0.0001654624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01767573,0.001536268,0.7537221,0.0001073489,0.0003852713,0.01442808,0.006760581,0.0002339648,0.1890053,0.00052878,0.001460581,0.01415603],"study_design_scores_gemma":[0.02064062,0.005559778,0.9350478,0.0001588805,0.001990728,0.01438812,0.006651826,0.000805338,0.005111987,0.0008335062,0.008130763,0.0006806687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960552,0.0009713911,0.0003036534,0.00149104,0.0003038383,0.000273979,0.00004266019,0.00001121223,0.0005470219],"genre_scores_gemma":[0.9869322,0.0000166758,0.01222426,0.0002690025,0.0004406731,0.00002273121,0.00002267695,0.00002791821,0.00004393404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1838933,"threshold_uncertainty_score":0.4583152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132137575732885,"score_gpt":0.2901609592026154,"score_spread":0.2769472016293268,"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."}}