{"id":"W2021718025","doi":"10.1136/neurintsurg-2012-010455b.31","title":"P-031 Mechanical thrombectomy with the solitaire device: is there a learning curve toward achieving rapid recanalization times?: Abstract P-031 Figure 1","year":2012,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Solitaire Cryptographic Algorithm; Angiography; Stroke (engine); TIMI; Revascularization; Radiology; Computed tomography angiography; Surgery; Nuclear medicine; Cardiology; Ischemic stroke; Ischemia; Myocardial infarction; Thrombolysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000942124,0.000237546,0.0002319266,0.0005464109,0.0002065205,0.0006064146,0.0002558878,0.0003082126,0.007449346],"category_scores_gemma":[0.003622313,0.0000905855,0.0001999616,0.0004055614,0.0001958263,0.0006292022,0.0002017426,0.0003388625,0.00130703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705258,"about_ca_system_score_gemma":0.000408921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191474,"about_ca_topic_score_gemma":0.000334046,"domain_scores_codex":[0.999554,0.00009209375,0.00006621009,0.00005883565,0.0001719363,0.00005692744],"domain_scores_gemma":[0.9977084,0.00076467,0.0009151081,0.0001040852,0.0003297853,0.0001778991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002378588,0.000507954,0.8110436,0.0001777444,0.00006542324,0.001149206,0.0002227688,0.0005348182,0.006035777,0.0003125314,0.003875199,0.1736964],"study_design_scores_gemma":[0.0002091141,0.006396391,0.9589497,0.0001637085,0.00008797751,0.01381811,0.0004215135,0.002918279,0.006706416,0.0003303925,0.009957655,0.00004071686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918318,0.000616473,0.001917855,0.0003797311,0.00002792008,0.0001067587,0.000357903,0.00007033005,0.004691265],"genre_scores_gemma":[0.9950057,0.0003876651,0.003186947,0.0001246243,0.00006220661,0.00008783631,0.0002767183,0.00001377434,0.000854652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007449346,"threshold_uncertainty_score":0.02492058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407511678757504,"score_gpt":0.2973759754006172,"score_spread":0.2533008586130422,"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."}}