{"id":"W4389436999","doi":"10.1212/wnl.90.15_supplement.p3.207","title":"Inter-User Scoring Discrepancies Amongst Residents using The Alberta Stroke Program Early CT Score (ASPECTS) Shows Limited Use of this Scoring Tool without Formal Training. (P3.207)","year":2018,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Physical medicine and rehabilitation; Scoring system; Medicine; Medical physics; Physical therapy; Computer science; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02991465,0.0004269881,0.0005627236,0.002016879,0.0008581472,0.00127185,0.0011349,0.0006561255,0.00959379],"category_scores_gemma":[0.1017802,0.0003952079,0.0008133716,0.001814224,0.0009814191,0.001034689,0.001497592,0.0007028098,0.003671803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008066872,"about_ca_system_score_gemma":0.001053781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005470395,"about_ca_topic_score_gemma":0.01158869,"domain_scores_codex":[0.9622681,0.01401341,0.004699968,0.002629784,0.01530916,0.001079619],"domain_scores_gemma":[0.8885568,0.05484728,0.01688392,0.008824259,0.02960767,0.001280004],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009374045,0.0002242492,0.856865,0.0004289733,0.0003244341,0.0003392866,0.002963106,0.0004004735,0.002442499,0.000541773,0.02407321,0.1104597],"study_design_scores_gemma":[0.00004970213,0.0007746195,0.9702157,0.0003226667,0.0001634712,0.002155871,0.002185634,0.00197083,0.006139268,0.0008853517,0.01506707,0.00006985828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017041,0.002255542,0.03512363,0.002788627,0.001195693,0.001389833,0.004814945,0.001063663,0.04966403],"genre_scores_gemma":[0.9803333,0.0002948541,0.0114789,0.0006862874,0.0001277895,0.0006927708,0.001442858,0.000251319,0.004691979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9945296,"threshold_uncertainty_score":0.1582057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05436469122562759,"score_gpt":0.2910121543959138,"score_spread":0.2366474631702862,"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."}}