{"id":"W2099316720","doi":"10.1016/j.jemermed.2012.09.020","title":"Physical Examination Myths: Assessing Range of Motion of an Acutely Injured Extremity before Imaging","year":2013,"lang":"en","type":"article","venue":"Journal of Emergency Medicine","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Range of motion; Mythology; Physical medicine and rehabilitation; Range (aeronautics); Physical examination; Motion (physics); Medicine; Computer science; Physical therapy; Radiology; Computer vision; Art; Engineering; Aerospace engineering; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135951,0.0008483451,0.0004150292,0.001289542,0.001064295,0.001371217,0.0009655986,0.003130878,0.001971571],"category_scores_gemma":[0.01556101,0.0004629168,0.0004228191,0.0004143878,0.001785675,0.002606721,0.001192652,0.003689121,0.0008746356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198652,"about_ca_system_score_gemma":0.001335511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197205,"about_ca_topic_score_gemma":0.003208889,"domain_scores_codex":[0.9990929,0.0002196214,0.0001392843,0.00008496342,0.0002652539,0.0001980607],"domain_scores_gemma":[0.9971355,0.001186071,0.000582103,0.0001100982,0.0004997859,0.0004863301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0008731315,0.001417288,0.3962781,0.0009010573,0.00008759559,0.4593844,0.006661189,0.00115363,0.01570181,0.002974839,0.02578305,0.08878393],"study_design_scores_gemma":[0.0001140518,0.002030674,0.2282883,0.002386733,0.0001502229,0.7159857,0.0166026,0.003580642,0.007344957,0.004866003,0.01848529,0.0001648403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836579,0.00868378,0.007969825,0.05992298,0.002122906,0.0003595395,0.0002073504,0.0002118639,0.0368638],"genre_scores_gemma":[0.974565,0.005050431,0.005467767,0.009457105,0.001733699,0.0000729004,0.00008983078,0.00004070319,0.003522583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003130878,"threshold_uncertainty_score":0.008696854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273581233583643,"score_gpt":0.3540665604867587,"score_spread":0.3213307481509222,"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."}}