{"id":"W4318070835","doi":"10.1007/s00062-022-01258-8","title":"Location-specific ASPECTS does not improve Outcome Prediction in Large Vessel Occlusion compared to Cumulative ASPECTS","year":2023,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Heidelberg","keywords":"Logistic regression; Interquartile range; Modified Rankin Scale; Confidence interval; Multivariate statistics; Outcome (game theory); Odds ratio; Medicine; Internal medicine; Statistics; Ischemic stroke; Mathematics; Ischemia","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":[0.001710209,0.0007939523,0.0006340427,0.0008898637,0.000228868,0.0008213408,0.0004364985,0.000415104,0.001719815],"category_scores_gemma":[0.006833249,0.0001835002,0.0009569023,0.0007785511,0.0004147508,0.0007111131,0.0006429949,0.0005487666,0.0004451643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515156,"about_ca_system_score_gemma":0.0004740718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003600021,"about_ca_topic_score_gemma":0.006894096,"domain_scores_codex":[0.9993223,0.0002466974,0.00006924439,0.0001598189,0.0001146732,0.0000873225],"domain_scores_gemma":[0.9968389,0.00113068,0.001174333,0.0002617593,0.0002717413,0.000322598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006378802,0.00002665794,0.9898319,0.00002090963,0.0001911651,0.00008529164,0.00002529533,0.001264017,0.0002133031,0.00003594614,0.0001506541,0.007516865],"study_design_scores_gemma":[0.00001916442,0.0004145594,0.9796535,0.00003767683,0.0002769237,0.0004820206,0.00009954393,0.01795945,0.0003033847,0.0003719749,0.0003656892,0.00001623726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960423,0.0006545895,0.001782401,0.0001514577,0.00002590893,0.00001172644,0.0003321214,0.00003576595,0.0009638603],"genre_scores_gemma":[0.9992483,0.00009662,0.0002690421,0.00001285277,0.00001879525,0.000003434917,0.0002372131,0.000005208032,0.0001084188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003600021,"threshold_uncertainty_score":0.009044528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983972352610703,"score_gpt":0.3794356899777314,"score_spread":0.3095959664516243,"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."}}