{"id":"W3015925610","doi":"10.3760/cma.j.issn.0376-2491.2018.21.015","title":"[Combined application of multi-parameter semiquantitative Alberta stroke program early CT score to assess infarction severity in acute ischemic stroke].","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Thrombolysis; Concordance; Cohen's kappa; Stroke (engine); Kappa; Nuclear medicine; Radiology; Cerebral blood flow; Internal medicine; Myocardial infarction","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":[0.001253251,0.0005829175,0.0003703049,0.002165126,0.0001815451,0.0005104751,0.0005948211,0.0003895805,0.003309093],"category_scores_gemma":[0.002259742,0.000198885,0.0004889181,0.001227759,0.0001947661,0.0003923347,0.0004462349,0.0003804691,0.0008482501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691005,"about_ca_system_score_gemma":0.0004952949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004460835,"about_ca_topic_score_gemma":0.01153937,"domain_scores_codex":[0.9995477,0.0001041978,0.00003993885,0.00003819087,0.0002476068,0.00002242829],"domain_scores_gemma":[0.9994351,0.00007136545,0.00008228861,0.00005166786,0.000321984,0.00003743294],"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":[0.005490087,0.0004881068,0.2787039,0.001142653,0.001950705,0.001106234,0.0001941238,0.004072929,0.02965324,0.001563114,0.04941096,0.626224],"study_design_scores_gemma":[0.001505438,0.002001512,0.8870996,0.0002536883,0.001941248,0.005946793,0.0002292101,0.0438312,0.01962684,0.004367825,0.03293955,0.0002571361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7004675,0.02286204,0.1638546,0.003335933,0.002780571,0.007066826,0.03738692,0.004636231,0.05760946],"genre_scores_gemma":[0.8548626,0.003171365,0.1121919,0.0008594659,0.0004998965,0.002074574,0.01302807,0.0001954895,0.01311671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004460835,"threshold_uncertainty_score":0.01107007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731160477352626,"score_gpt":0.2760796646647579,"score_spread":0.2487680598912317,"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."}}