{"id":"W2802837495","doi":"10.1007/s12975-018-0627-x","title":"Small Vessel Disease Is Associated with Tissue Inhibitor of Matrix Metalloproteinase-4 After Ischaemic Stroke","year":2018,"lang":"en","type":"article","venue":"Translational Stroke Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Ministero della Salute; Ente Cassa di Risparmio di Firenze","keywords":"Medicine; Leukoaraiosis; Thrombolysis; Stroke (engine); Neurology; Internal medicine; Atrophy; Univariate analysis; Confounding; Neuroradiology; Cardiology; Disease; Multivariate analysis; Myocardial infarction; Dementia","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":[0.0005498984,0.0003278317,0.0006093685,0.0008931005,0.0004387067,0.0008969321,0.0004296436,0.0006751022,0.002478764],"category_scores_gemma":[0.003851668,0.0002382601,0.0007196036,0.001272162,0.0004869289,0.0005488649,0.0004238288,0.00111985,0.0003175612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806262,"about_ca_system_score_gemma":0.0004603417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823407,"about_ca_topic_score_gemma":0.002624953,"domain_scores_codex":[0.9993731,0.0001723833,0.00008836559,0.00008457321,0.0001427209,0.0001388314],"domain_scores_gemma":[0.9971858,0.0006392918,0.00139178,0.0001340507,0.0002348448,0.0004141683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00138783,0.0001788187,0.9919816,0.00003963929,0.0002465864,0.001184985,0.00009334403,0.00004465713,0.001181848,0.00007508856,0.0002287709,0.003356757],"study_design_scores_gemma":[0.00001375201,0.0001186792,0.9984046,0.000005725974,0.00009845504,0.000806918,0.00008682332,0.0001400108,0.0000891099,0.0001052399,0.0001253408,0.00000552919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99744,0.00108503,0.0001685494,0.0001707368,0.00003828217,0.00000930916,0.00008968627,0.000006948283,0.0009914088],"genre_scores_gemma":[0.9987825,0.0003974837,0.00008501166,0.00003832492,0.0001114017,0.000006098366,0.0001632427,0.000002868514,0.0004129857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002478764,"threshold_uncertainty_score":0.008292317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05093254761715191,"score_gpt":0.3450978614986656,"score_spread":0.2941653138815137,"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."}}