{"id":"W1919618760","doi":"10.1593/neo.12346","title":"Quantitative Immunohistochemistry for Evaluating the Distribution of Ki67 and Other Biomarkers in Tumor Sections and Use of the Method to Study Repopulation in Xenografts after Treatment with Paclitaxel","year":2012,"lang":"en","type":"article","venue":"Neoplasia","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Gefitinib; Paclitaxel; Cancer research; Cell growth; Apoptosis; Biology; Cell; Epidermal growth factor receptor; Medicine; Chemotherapy; Cancer; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001364034,0.0009190737,0.0003719426,0.002250517,0.0004435904,0.0004805175,0.0005596551,0.000778908,0.003768481],"category_scores_gemma":[0.0006241192,0.0006431908,0.0004688936,0.0009123938,0.0006217669,0.0008720754,0.0003282176,0.001016811,0.001051054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456416,"about_ca_system_score_gemma":0.000472957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044821,"about_ca_topic_score_gemma":0.002828437,"domain_scores_codex":[0.9992909,0.0001167336,0.00007938069,0.0001963925,0.000211345,0.000105182],"domain_scores_gemma":[0.9991865,0.0001968964,0.0002136029,0.0001105386,0.000230611,0.00006193955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004815264,0.00003943801,0.0006282862,0.0001006416,0.00000943961,0.00004614232,0.000026087,0.00005780786,0.99541,0.0002262945,0.00005614313,0.003351385],"study_design_scores_gemma":[0.00004764487,0.0006492095,0.02518117,0.00004377221,0.0000738824,0.001439221,0.00009082908,0.005920039,0.9606173,0.0004214246,0.005484692,0.00003087441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3370205,0.006464127,0.6433847,0.0002130275,0.0002736606,0.001005117,0.001081625,0.00196677,0.008590389],"genre_scores_gemma":[0.4045752,0.00465781,0.575981,0.0001678488,0.0001233278,0.002564026,0.001375318,0.0003191026,0.01023635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003768481,"threshold_uncertainty_score":0.0126068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583101425213844,"score_gpt":0.376564185045354,"score_spread":0.3307331707932156,"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."}}