{"id":"W1766320810","doi":"10.1111/j.1365-2559.2010.03602.x","title":"A novel method of cell embedding for tissue microarrays","year":2010,"lang":"en","type":"letter","venue":"Histopathology","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Embedding; Computer science; Content (measure theory); Information retrieval; DNA microarray; Tissue microarray; Computational biology; Artificial intelligence; Biology; Pathology; Medicine; Mathematics; Genetics; Gene expression; Gene; Immunohistochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.000947029,0.0003517874,0.001203941,0.00050885,0.00006630931,0.000007303424,0.0004178973,0.002902249,0.0006436513],"category_scores_gemma":[0.0004181962,0.000346159,0.0002706401,0.0001516733,0.0003379556,0.00001903884,0.0001197536,0.004551836,0.00007628206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140778,"about_ca_system_score_gemma":0.0006899466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001213894,"about_ca_topic_score_gemma":0.00001801643,"domain_scores_codex":[0.9974101,0.0001391216,0.0005862036,0.0007656151,0.0003731815,0.0007257765],"domain_scores_gemma":[0.9976479,0.0005239345,0.0003378164,0.001000074,0.0003824971,0.0001077633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004867045,0.00004357459,0.0000121407,0.001490586,0.000004510841,0.0003753194,0.0002046472,2.708435e-7,0.5294265,0.00001262698,0.4669429,0.001438256],"study_design_scores_gemma":[0.001143694,0.0005687948,0.00004669613,0.0001197691,0.0001863966,0.00194966,0.00001217255,0.0000323899,0.07040333,0.00005587805,0.9252378,0.0002434052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0005429243,0.00226818,0.4455085,0.5135775,0.005904217,0.003838833,0.001013909,0.0001679952,0.02717802],"genre_scores_gemma":[0.00009332576,0.00004646059,0.6916003,0.2479059,0.005253094,0.0004596894,0.0004716443,0.0002551534,0.05391442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4590232,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05416591762640351,"score_gpt":0.4050866423590341,"score_spread":0.3509207247326306,"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."}}