{"id":"W2111891015","doi":"10.1093/ptj/86.1.122","title":"Development and Application of Clinical Prediction Rules to Improve Decision Making in Physical Therapist Practice","year":2006,"lang":"en","type":"review","venue":"Physical Therapy","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical therapist; Clinical decision making; Clinical Practice; Psychology; Medicine; Physical therapy; Intensive care medicine","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":[0.0003905487,0.0003536445,0.001863058,0.0001249758,0.00003764388,0.00001956267,0.00009568939,0.0001607056,0.000001777911],"category_scores_gemma":[0.0001105296,0.0002335489,0.0003655101,0.0002663675,0.00005408263,0.00006746153,0.00004472566,0.0003082458,0.00002760536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428909,"about_ca_system_score_gemma":0.0001512299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002233389,"about_ca_topic_score_gemma":0.000002184687,"domain_scores_codex":[0.9977472,0.0001496571,0.000884344,0.0006227964,0.0004022996,0.0001937472],"domain_scores_gemma":[0.997444,0.001538511,0.0004439272,0.0003861511,0.00008855861,0.00009886633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002287992,0.004196372,0.0002526496,0.0006237577,0.0002615724,0.000004550915,0.0002168843,9.511623e-7,0.00001177686,0.0003095988,0.00004377714,0.9938493],"study_design_scores_gemma":[0.001771148,0.0008575127,0.01230073,0.005528392,0.0004391356,0.000006839977,0.00001955601,0.0001864604,0.00007150938,0.0004604318,0.978097,0.0002612607],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07053577,0.9243051,0.0007918032,0.0001179854,0.000142155,0.003550879,0.00004230796,0.00005129608,0.0004626614],"genre_scores_gemma":[0.02055995,0.9702117,0.00712167,0.000158919,0.0008345299,0.0009377857,0.0001062568,0.00006179293,0.000007427103],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993588,"threshold_uncertainty_score":0.9523848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685451737302466,"score_gpt":0.5121503418928064,"score_spread":0.3436051681625598,"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."}}