{"id":"W6907974671","doi":"10.25384/sage.c.4064405.v1","title":"Immunohistochemical detection of p53, PTEN, Rb, and p16 in canine osteosarcoma using tissue microarray","year":2018,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immunohistochemistry; Immunostaining; Osteosarcoma; Tissue microarray; PTEN; Monoclonal antibody; Staining; Antibody; Tumor suppressor gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005882282,0.0002064286,0.0003034261,0.001625167,0.0001874965,0.0002256647,0.0002116422,0.0002446761,0.0008927495],"category_scores_gemma":[0.0004443729,0.0002479006,0.0001917662,0.000869773,0.0001480487,0.0002686042,0.0001995785,0.000149753,0.000331417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181854,"about_ca_system_score_gemma":0.0001409738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939365,"about_ca_topic_score_gemma":0.001377576,"domain_scores_codex":[0.9995731,0.00007332284,0.00007729568,0.0001063213,0.0001183642,0.0000516882],"domain_scores_gemma":[0.999768,0.00006834946,0.0000542122,0.00002734676,0.00005754114,0.000024588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000433786,0.00004860954,0.1052737,0.0001543022,0.00005887327,0.0008757857,0.0001956409,0.0003459934,0.879893,0.00006610929,0.0002003084,0.01245387],"study_design_scores_gemma":[0.00002619445,0.0008798796,0.7752633,0.00003037515,0.0002082693,0.01337256,0.0004410137,0.005862129,0.1982201,0.0001484637,0.005522349,0.00002538655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9923685,0.001175233,0.005141244,0.00002708837,0.00000807744,0.00005137127,0.0005258787,0.00004729024,0.0006553943],"genre_scores_gemma":[0.9829357,0.001081786,0.01291921,0.00003196338,0.00001305695,0.0001687337,0.002033114,0.00001135801,0.0008051005],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001625167,"threshold_uncertainty_score":0.003110886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501051837117331,"score_gpt":0.3363569874667653,"score_spread":0.291346469095592,"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."}}