{"id":"W2908883061","doi":"10.20969/vskm.2018.11(6).11-15","title":"S-100 PROTEIN AUTOANTIBODY LEVEL AS A POSSIBLE OUTCOME PREDICTOR IN ACUTE STROKE","year":2018,"lang":"en","type":"article","venue":"The Bulletin of Contemporary Clinical Medicine","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Autoantibody; Acute stroke; Outcome (game theory); Internal medicine; Physical therapy; Immunology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070454,0.0002303928,0.00056599,0.0000628096,0.00006610248,0.000007985024,0.0005842382,0.0002514591,0.0005679601],"category_scores_gemma":[0.001350573,0.0001410673,0.000169673,0.0001150503,0.00116668,0.000002896086,0.0002294023,0.0003213494,0.00008872307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006755454,"about_ca_system_score_gemma":0.0002005575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004663586,"about_ca_topic_score_gemma":0.00002607065,"domain_scores_codex":[0.9974276,0.0003120638,0.001230745,0.0004393196,0.0003038983,0.000286408],"domain_scores_gemma":[0.9984692,0.0001302746,0.0003740445,0.0007141369,0.000165867,0.0001465087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01064509,0.001938303,0.3065575,0.0002319778,0.001174896,0.0002069077,0.0005284823,0.000001502023,0.42305,0.003973065,0.2401266,0.01156569],"study_design_scores_gemma":[0.01148404,0.01921235,0.1113073,0.0007776081,0.0001004319,0.00003872168,0.0003761732,0.00004040815,0.06401359,0.0009176745,0.7911655,0.0005661665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473718,0.0009992211,0.0002004837,0.02054945,0.0003692655,0.0009657475,0.00005868311,0.00002436066,0.02946096],"genre_scores_gemma":[0.9754493,0.00007270492,0.0003493509,0.002802564,0.001239156,0.00004222787,0.00004222229,0.00002554494,0.01997688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5510389,"threshold_uncertainty_score":0.6218765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07920373467987439,"score_gpt":0.3826811997268971,"score_spread":0.3034774650470227,"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."}}