{"id":"W3212593103","doi":"10.1093/neuonc/noab259","title":"Consensus core clinical data elements for meningiomas (v2021.1)","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Brain Tumour Charity","keywords":"Medicine; Data sharing; Medical physics; Core (optical fiber); Meningioma; Process (computing); Computer science; Pathology; Alternative 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1087403,0.001427009,0.003358847,0.01530002,0.002773999,0.006103402,0.006715555,0.005246916,0.03775078],"category_scores_gemma":[0.2281825,0.00233236,0.005131987,0.01259848,0.002000633,0.003327269,0.007628585,0.00658829,0.01883348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005632725,"about_ca_system_score_gemma":0.04703499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364873,"about_ca_topic_score_gemma":0.01159427,"domain_scores_codex":[0.9009742,0.04275208,0.03763373,0.005032147,0.01058421,0.003023582],"domain_scores_gemma":[0.7298191,0.1303017,0.02864608,0.03905117,0.06131884,0.01086322],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003694623,0.0003157624,0.01541628,0.03015351,0.001795709,0.0009638511,0.002363554,0.0057583,0.007161105,0.05025409,0.6591045,0.2230188],"study_design_scores_gemma":[0.001524705,0.0002316172,0.01769,0.01378998,0.0007060582,0.0009276287,0.0005109048,0.001812496,0.004692638,0.02542154,0.9324714,0.0002209696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01400793,0.009193247,0.3133509,0.0273455,0.003931442,0.04465068,0.4965058,0.01550015,0.07551445],"genre_scores_gemma":[0.03433488,0.002792615,0.4164629,0.009775802,0.0006296168,0.04828312,0.4750847,0.003885749,0.008750606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8912597,"threshold_uncertainty_score":0.5750805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2623891071117285,"score_gpt":0.4560366072294372,"score_spread":0.1936475001177087,"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."}}