{"id":"W2995945739","doi":"10.1136/neurintsurg-2019-015442","title":"Region-specific agreement in ASPECTS estimation between neuroradiologists and e-ASPECTS software","year":2019,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Kappa; Intraclass correlation; Cohen's kappa; Gold standard (test); Stroke (engine); Radiology; Computer science; Machine learning; Psychometrics","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":[0.08123317,0.001021752,0.001149894,0.005696501,0.0006000043,0.002325539,0.001693825,0.001280976,0.001816072],"category_scores_gemma":[0.1546459,0.0008412805,0.00149135,0.002836955,0.001610271,0.00199358,0.003398054,0.0007623415,0.0009158663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007582533,"about_ca_system_score_gemma":0.0007872558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665011,"about_ca_topic_score_gemma":0.002744468,"domain_scores_codex":[0.9230645,0.04460781,0.01211445,0.009095442,0.009841213,0.00127658],"domain_scores_gemma":[0.7891495,0.133236,0.02221742,0.01826429,0.03572045,0.00141242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004024393,0.0002044381,0.7727082,0.001049839,0.002182377,0.0003764028,0.004964252,0.01331191,0.01349842,0.002107122,0.002899837,0.1826728],"study_design_scores_gemma":[0.0002828565,0.001102289,0.7998821,0.0006134642,0.001125706,0.003320594,0.002433967,0.1466189,0.02819341,0.008182391,0.007857683,0.0003866164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7392984,0.002171078,0.2464629,0.0002226237,0.0002245969,0.0007507468,0.0007991148,0.00171948,0.008351044],"genre_scores_gemma":[0.9226091,0.0001714286,0.07562023,0.00006946659,0.00005064755,0.0003155676,0.0004244523,0.000278019,0.0004610887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08123317,"threshold_uncertainty_score":0.4296072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481709073390022,"score_gpt":0.2796877025256269,"score_spread":0.2348706117917266,"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."}}