{"id":"W2066877940","doi":"10.1309/ajcpgxk0fr4mhihb","title":"Nectin 4 Overexpression in Ovarian Cancer Tissues and Serum","year":2010,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":261,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Cancer Institute","keywords":"Ovarian cancer; Immunohistochemistry; Cancer; Reverse transcriptase; Biomarker; Biology; Pathology; Nectin; Flow cytometry; Ovary; Cancer research; Polymerase chain reaction; Medicine; Cell; Internal medicine; Molecular biology; Endocrinology; Gene; Cell adhesion","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":[0.001158839,0.0001301682,0.0007573492,0.000121147,0.00004884604,0.000005378245,0.0002016673,0.0002936547,0.0005424949],"category_scores_gemma":[0.0005934852,0.0000969664,0.0001072638,0.0001280065,0.001012011,0.00005543739,0.00007807704,0.00144894,0.00001569534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008519391,"about_ca_system_score_gemma":0.0001309646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002204469,"about_ca_topic_score_gemma":0.0003601488,"domain_scores_codex":[0.9979031,0.0006404547,0.0008955863,0.0002429993,0.00002746217,0.0002904073],"domain_scores_gemma":[0.9983448,0.0005775739,0.0007619488,0.0001671211,0.00008977237,0.00005875578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005520999,0.0001285026,0.5147629,0.000003287445,0.00004532521,0.00007407058,0.000200512,0.000001086481,0.2475695,0.0001789712,0.0004160786,0.2360677],"study_design_scores_gemma":[0.002454774,0.002322444,0.958496,0.0000591827,0.00002681691,0.001532205,0.0003146159,0.000001021637,0.006100235,0.0006968291,0.02784069,0.0001552167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950585,0.0008292901,0.00003032968,0.001739773,0.001909979,0.00005525567,0.000008758357,0.000006848094,0.0003612107],"genre_scores_gemma":[0.997611,0.0006937112,0.0004899849,0.0007855245,0.0002578043,0.000003577938,0.000001393613,0.0000109203,0.0001460937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4437331,"threshold_uncertainty_score":0.6295003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032156162750095,"score_gpt":0.3745102415171708,"score_spread":0.3541886798896699,"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."}}