{"id":"W206529964","doi":"","title":"Making the most of your pathology: standardized histopathology reporting in head and neck cancer.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Humanities; Medicine; Head and neck surgery; Gynecology; Philosophy; Surgery; Otorhinolaryngology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03048253,0.000375286,0.0002414774,0.003303682,0.0008256685,0.002371805,0.001696171,0.0006204034,0.002023048],"category_scores_gemma":[0.1093755,0.0003092088,0.0002729133,0.003462688,0.001934622,0.002214838,0.002077437,0.0007645473,0.0005148666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002780015,"about_ca_system_score_gemma":0.01023984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02429889,"about_ca_topic_score_gemma":0.04296788,"domain_scores_codex":[0.9724358,0.01267266,0.004388649,0.0007022243,0.009331306,0.0004693556],"domain_scores_gemma":[0.8906644,0.03614737,0.03753195,0.006409936,0.02656127,0.002685003],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003682801,0.0002151103,0.3266068,0.004040804,0.0001041755,0.001371155,0.007143557,0.0007479457,0.004382443,0.00145994,0.04223885,0.611321],"study_design_scores_gemma":[0.0001083527,0.001286821,0.8419101,0.005357746,0.0003163635,0.014382,0.02201542,0.00278476,0.00978472,0.003428561,0.09839565,0.0002294156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7664633,0.05716429,0.07487601,0.04786834,0.003847277,0.004396427,0.005042962,0.00130576,0.03903565],"genre_scores_gemma":[0.890605,0.01486689,0.08622471,0.00265503,0.0009636914,0.0007637008,0.001706267,0.0001083493,0.00210643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9695175,"threshold_uncertainty_score":0.1612089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09797992767322179,"score_gpt":0.3459436619887029,"score_spread":0.2479637343154811,"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."}}