{"id":"W4392615774","doi":"10.1161/svin.123.001306","title":"Door to Puncture in Large Vessel Occlusions Pre‐ and Postimplementation of an Automated Image Interpretation and Communication Platform: A Single Center Study","year":2024,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Interpretation (philosophy); Computer science; Medicine; Artificial intelligence; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982968,0.0001191775,0.0002018201,0.0002978674,0.00004126853,0.00003449448,0.00005651324,0.00005106578,0.00004311188],"category_scores_gemma":[0.00005049761,0.0001048348,0.00005833962,0.0001075296,0.00005103676,0.0002036229,0.0002585163,0.000153456,0.000001086136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000183098,"about_ca_system_score_gemma":0.000009808356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007608233,"about_ca_topic_score_gemma":0.0001337222,"domain_scores_codex":[0.9990006,0.0001086283,0.0003297545,0.0002886955,0.0001421336,0.0001301755],"domain_scores_gemma":[0.9996216,0.00005095825,0.00005035269,0.0001668274,0.00004757862,0.00006272212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006398004,0.01223139,0.6475051,0.004232504,0.003722491,0.0004269801,0.03322556,0.0001214908,0.2399284,0.00338833,0.009081099,0.03973864],"study_design_scores_gemma":[0.003699089,0.004613413,0.9565024,0.000257009,0.0002486774,0.0001474292,0.0009872802,0.03169847,0.0004337076,0.00009854347,0.001190354,0.0001235591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961045,0.0004020101,0.001483916,0.0009255027,0.0000584835,0.00076044,0.00008306053,0.0000558559,0.0001262564],"genre_scores_gemma":[0.998443,0.00003493086,0.0008507807,0.0003003761,0.00001178358,0.00004196964,0.000271193,0.00001351376,0.00003245039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089973,"threshold_uncertainty_score":0.4275038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108795545045384,"score_gpt":0.3228154673315951,"score_spread":0.3119359128270567,"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."}}