{"id":"W4394910448","doi":"10.1136/jnis-2024-021477","title":"Can micro-guidewire advancement forces predict clot consistency and location to assist the first-line technique for mechanical thrombectomy?","year":2024,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Consistency (knowledge bases); Biomedical engineering; Surgery; Physical medicine and rehabilitation; Artificial intelligence; Computer science","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":[0.001795965,0.0006050094,0.0005808843,0.001259901,0.0000937746,0.0008766305,0.0003857906,0.00103592,0.001434525],"category_scores_gemma":[0.008530007,0.0003446235,0.000327823,0.0005945774,0.0004426048,0.0008611254,0.0001935198,0.0004832934,0.0007658128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623876,"about_ca_system_score_gemma":0.0002181098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000557517,"about_ca_topic_score_gemma":0.0008192632,"domain_scores_codex":[0.9995378,0.0001026139,0.00004742787,0.0000923267,0.0001786437,0.00004117176],"domain_scores_gemma":[0.9959249,0.002229439,0.001132665,0.00017676,0.0004092595,0.0001269902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002113019,0.0002417878,0.7039261,0.0007230826,0.0002825524,0.0003798624,0.0001588205,0.002293141,0.1265067,0.0001995963,0.000947642,0.1622277],"study_design_scores_gemma":[0.00005535124,0.001344181,0.9373671,0.0001181799,0.0002451347,0.002270089,0.00015325,0.02170216,0.03463162,0.000517012,0.001537382,0.00005856647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548807,0.01581276,0.02667427,0.0004963183,0.0001349814,0.00009073778,0.0005068842,0.0001603378,0.001242952],"genre_scores_gemma":[0.9827928,0.003112047,0.0132423,0.0001116943,0.0001525836,0.00003560994,0.0002555735,0.0000214434,0.0002760519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001795965,"threshold_uncertainty_score":0.00949806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765536985808009,"score_gpt":0.3155635557015866,"score_spread":0.2779081858435065,"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."}}