{"id":"W6923678207","doi":"10.1371/journal.pone.0309163.s001","title":"Health system endovascular thrombectomy guideline.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Middle cerebral artery; Stroke (engine); Internal carotid artery; Computed tomography; Carotid arteries; Ischemic stroke","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":[0.0008507578,0.0008654997,0.0009792915,0.001845558,0.000402878,0.001272411,0.001817376,0.001987128,0.07556807],"category_scores_gemma":[0.003976676,0.0003675275,0.001221235,0.002337567,0.0002705604,0.0007419583,0.0006492368,0.002260641,0.04992707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727135,"about_ca_system_score_gemma":0.003853882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326706,"about_ca_topic_score_gemma":0.04197668,"domain_scores_codex":[0.9991221,0.0001923075,0.0002032041,0.00007261083,0.0002974515,0.0001123613],"domain_scores_gemma":[0.9984418,0.000374504,0.0001886462,0.00005134569,0.0007746246,0.0001691317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002047834,0.00001225971,0.000116149,0.000330479,0.00001350067,0.00003504799,0.000008352069,0.00005824901,0.00003242402,0.0004221533,0.9857005,0.01325047],"study_design_scores_gemma":[0.0004689045,0.00004179089,0.005427615,0.002886433,0.0001275518,0.0004170165,0.00004537388,0.000230085,0.000165709,0.002339798,0.9878259,0.0000239428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001779351,0.0448899,0.00389066,0.06464145,0.005721194,0.003269669,0.5573691,0.002291271,0.3161475],"genre_scores_gemma":[0.01595458,0.06613718,0.01512897,0.07343952,0.003381854,0.008275622,0.6596329,0.001040945,0.1570085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07556807,"threshold_uncertainty_score":0.2528003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219293206236194,"score_gpt":0.3072174755787999,"score_spread":0.2750245435164379,"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."}}