{"id":"W2118514658","doi":"10.1161/strokeaha.111.000229","title":"Prediction of Recanalization Trumps Prediction of Tissue Fate","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Surgery; Cardiology","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":[0.001070802,0.0005347951,0.0003656885,0.0008276823,0.0001425608,0.0007519359,0.0002382008,0.0004599912,0.001511196],"category_scores_gemma":[0.009529419,0.0001307729,0.0003156318,0.0003560912,0.0004027284,0.0004882619,0.000397827,0.0004794348,0.0005800881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246223,"about_ca_system_score_gemma":0.0002294301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668521,"about_ca_topic_score_gemma":0.0005313749,"domain_scores_codex":[0.9994363,0.0002531043,0.0000535324,0.00008331836,0.0001029845,0.00007084522],"domain_scores_gemma":[0.9918256,0.004741186,0.00190174,0.0003292021,0.0005881849,0.0006141015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004136624,0.0000361131,0.9869795,0.00001894756,0.00004005212,0.00008063168,0.000019175,0.0009892951,0.0005809896,0.00003701596,0.0001343601,0.01067031],"study_design_scores_gemma":[0.0000431706,0.0006581992,0.9720911,0.00004599897,0.0001004991,0.001214158,0.00008911344,0.02267572,0.001812532,0.0007932595,0.0004602363,0.00001596641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995915,0.0004168386,0.002610525,0.0001607714,0.00001791588,0.00001997054,0.0001236558,0.00003480677,0.0007004644],"genre_scores_gemma":[0.9992022,0.00007158935,0.0004401647,0.00001744302,0.00002821611,0.000005563855,0.0001128256,0.0000039724,0.0001179083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001511196,"threshold_uncertainty_score":0.005662978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756807571424069,"score_gpt":0.2407054010000611,"score_spread":0.2231373252858204,"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."}}