{"id":"W7000433885","doi":"","title":"Estudo radiómico em tomografia computorizada do AVC hemorrágico subaracnoideu com recurso a machine learning","year":2023,"lang":"pt","type":"dissertation","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Medical imaging; Stroke (engine)","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":[0.002798069,0.000620945,0.0007761965,0.002172837,0.000316001,0.002036426,0.0005804147,0.0009703541,0.000937986],"category_scores_gemma":[0.0115197,0.0003265117,0.0005157008,0.002207859,0.0007666865,0.001248411,0.0006075184,0.0005037522,0.0003379367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007775042,"about_ca_system_score_gemma":0.0007945271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002905697,"about_ca_topic_score_gemma":0.002660156,"domain_scores_codex":[0.9983354,0.000612528,0.0001314953,0.0003269665,0.0004804856,0.0001131965],"domain_scores_gemma":[0.9944719,0.0030402,0.0008390308,0.0003043071,0.001227946,0.0001166923],"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":[0.001692268,0.0002886361,0.3228993,0.001692139,0.0007211445,0.002747383,0.002186537,0.03159166,0.1145271,0.002461923,0.002497475,0.5166945],"study_design_scores_gemma":[0.0001957423,0.003421288,0.330713,0.0009437712,0.002079308,0.01709902,0.003639756,0.3781373,0.2203158,0.009381155,0.03376697,0.0003069862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541424,0.01138071,0.1261278,0.0009892149,0.0001698668,0.0001532632,0.0003618831,0.0005214474,0.006153397],"genre_scores_gemma":[0.9665849,0.002850102,0.0289267,0.0001667737,0.0001200472,0.00007331569,0.0001500732,0.00006196888,0.00106614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905697,"threshold_uncertainty_score":0.01479775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811449314620449,"score_gpt":0.3742977118043656,"score_spread":0.3261832186581611,"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."}}