{"id":"W1980521369","doi":"10.1016/j.prp.2015.01.009","title":"Tumor shrinkage associated with whole-mount histopathologic techniques in oral tongue carcinoma","year":2015,"lang":"en","type":"article","venue":"Pathology - Research and Practice","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Princess Margaret Cancer Centre; University of Toronto; North York General Hospital; Sunnybrook Health Science Centre","funders":"Ontario Institute for Cancer Research","keywords":"Shrinkage; Tongue; Medicine; Stage (stratigraphy); Artifact (error); Carcinoma; Volume (thermodynamics); Pathology; Materials science; Computer science; Biology; Artificial intelligence; Composite material","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006074897,0.0001629786,0.0004639094,0.0002866633,0.0001475199,0.00002822292,0.0001034954,0.0001446279,0.00001633803],"category_scores_gemma":[0.01071535,0.0001080988,0.00002069056,0.0004762224,0.0006134352,0.0002401143,0.0001693584,0.001049117,0.00002570816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004253944,"about_ca_system_score_gemma":0.0004203831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005087184,"about_ca_topic_score_gemma":0.0005190534,"domain_scores_codex":[0.9969558,0.001263763,0.000231547,0.0004517903,0.0004644828,0.0006325949],"domain_scores_gemma":[0.9974871,0.001218761,0.00008210822,0.0002864035,0.000656329,0.0002692792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01422692,0.003241802,0.7775621,0.0002572239,0.0001281753,0.1254497,0.01201187,5.748065e-7,0.02866079,0.00167072,0.01999091,0.01679921],"study_design_scores_gemma":[0.00671825,0.01984424,0.784272,0.0003601005,0.0001176759,0.009374377,0.01005167,0.00004320222,0.002902422,0.001272429,0.1645335,0.000510098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537341,0.002319922,0.00002034907,0.01151796,0.00006441472,0.0005713757,0.00001396289,0.00008295167,0.03167499],"genre_scores_gemma":[0.9955621,0.000219416,0.001728339,0.001022175,0.00007461099,0.0001770488,0.00001867473,0.00002085639,0.001176797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445426,"threshold_uncertainty_score":0.9976178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1565274517225518,"score_gpt":0.4335738132537104,"score_spread":0.2770463615311586,"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."}}