{"id":"W1962996465","doi":"10.14740/jnr.v5i4-5.352","title":"Nutech Functional Score: A New Functional Scoring System for Patients With Cerebrovascular Accidents","year":2015,"lang":"en","type":"article","venue":"Journal of Neurology Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Physical medicine and rehabilitation; Scale (ratio); Physical therapy; Measure (data warehouse); Data mining; Computer science; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001622923,0.0001449281,0.0003863824,0.0006259932,0.0001045105,0.00003267072,0.0002213686,0.0001190606,0.00004550715],"category_scores_gemma":[0.0007050326,0.0001060898,0.0001540381,0.0003694697,0.00009989451,0.0001838122,0.0001609445,0.0008587445,0.00003545821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002536413,"about_ca_system_score_gemma":0.0007445117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001228716,"about_ca_topic_score_gemma":0.00000159801,"domain_scores_codex":[0.996735,0.0001360325,0.0004608694,0.000288246,0.001925126,0.0004547249],"domain_scores_gemma":[0.9966712,0.0002287316,0.0002317535,0.0002903603,0.00211819,0.0004597619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01294896,0.0003421123,0.6945414,0.0001445897,0.0006585622,0.0002370768,0.00004491723,0.000195827,0.0004524543,0.00008044354,0.2893201,0.001033531],"study_design_scores_gemma":[0.02973762,0.01348684,0.889932,0.00029066,0.0003758884,0.003236443,0.0002114814,0.0002666099,0.0005914691,0.0001050336,0.06156968,0.0001962225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874067,0.0001128169,0.007054974,0.002882623,0.0009461142,0.0007332255,0.000002491027,0.00002138824,0.0008397065],"genre_scores_gemma":[0.9954867,0.000007835477,0.001285008,0.000294003,0.00152761,0.00002713725,0.00001414213,0.0000405885,0.001317025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277504,"threshold_uncertainty_score":0.4326216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258686201108363,"score_gpt":0.3324445527016409,"score_spread":0.2065759325908046,"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."}}