{"id":"W7139387738","doi":"","title":"Hyperakuutin aivoinfarktin diagnostiikka ja ennuste tietokonetomografia-angio- ja perfuusiokuvantamistutkimuksilla","year":2015,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Work (physics); Physical activity","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":[0.001189501,0.000872602,0.001267979,0.00104219,0.0006197335,0.002795501,0.0006438887,0.001249193,0.01290058],"category_scores_gemma":[0.001453217,0.0003814499,0.001059117,0.0006294589,0.0005532749,0.001371468,0.0008152631,0.002261867,0.003591879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009054573,"about_ca_system_score_gemma":0.000988943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668273,"about_ca_topic_score_gemma":0.002786694,"domain_scores_codex":[0.9987671,0.0002223208,0.0001513747,0.0002445546,0.0004480092,0.00016669],"domain_scores_gemma":[0.9990778,0.0002598887,0.0002077114,0.00007240293,0.0002592742,0.0001229162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007389248,0.001845571,0.08071319,0.004210349,0.0006326621,0.00964171,0.00129229,0.0007880041,0.4206779,0.003241266,0.01527548,0.4542923],"study_design_scores_gemma":[0.0005125384,0.007294427,0.1632442,0.001978344,0.001636314,0.04667011,0.002499309,0.004896578,0.4753338,0.006087814,0.2895365,0.0003101026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6109753,0.2013919,0.05901138,0.008739301,0.002718459,0.00183774,0.003334238,0.002332194,0.1096595],"genre_scores_gemma":[0.8215935,0.05397609,0.03495884,0.004684118,0.001297802,0.0009501766,0.003643459,0.0003759802,0.07852007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290058,"threshold_uncertainty_score":0.0431568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116598414233625,"score_gpt":0.2381075337003355,"score_spread":0.2269415495579992,"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."}}