{"id":"W2047119842","doi":"10.1080/15389580309872","title":"Biomechanical Assessment of Soft Tissue Neck Injuries in Cases with Long Sick Leave Times","year":2003,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Sick leave; Occupational safety and health; Injury prevention; Poison control; Biomechanics; Human factors and ergonomics; Whiplash; Physical medicine and rehabilitation; Physical therapy; Medical emergency","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":[0.0005378289,0.0001474824,0.0003189034,0.000205223,0.00003423121,0.000008476346,0.0000406586,0.0001107265,0.0002918442],"category_scores_gemma":[0.0001122223,0.0001155626,0.00008966263,0.0003269065,0.000102565,0.000115887,0.000009816502,0.000156431,0.00001102237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007965956,"about_ca_system_score_gemma":0.0001552858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439058,"about_ca_topic_score_gemma":0.00006890421,"domain_scores_codex":[0.9986569,0.0002096281,0.0004126818,0.0002529953,0.0002825303,0.0001852421],"domain_scores_gemma":[0.9994156,0.0000973018,0.000127009,0.0002185056,0.00007721294,0.00006438065],"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":[0.004937491,0.01977615,0.08395432,0.0147544,0.001055269,0.0002000986,0.00428191,0.002683803,0.2204471,0.07173459,0.003643073,0.5725318],"study_design_scores_gemma":[0.01367078,0.04365549,0.8220811,0.006514713,0.0008098261,0.0001729062,0.003247604,0.005716853,0.09530756,0.004727974,0.002458995,0.001636156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958572,0.00008960193,0.002158635,0.0001200701,0.000107792,0.0007683984,0.000003339752,0.00005045902,0.0008444878],"genre_scores_gemma":[0.9944078,0.00001211682,0.004495032,0.00002255006,0.00003252431,0.00003404812,0.00005074065,0.00001901601,0.0009261759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7381268,"threshold_uncertainty_score":0.4712507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170325494303825,"score_gpt":0.3269182495660224,"score_spread":0.3152149946229841,"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."}}