{"id":"W6921307091","doi":"10.6084/m9.figshare.7390880.v1","title":"Dynamic Movement Assessment and Functional Movement Screening for injury prediction: a systematic review","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Functional movement; CINAHL; Movement (music); Musculoskeletal injury; Cohort study; Odds; Odds ratio; Risk assessment; Scale (ratio)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007121229,0.0008069666,0.001373472,0.0003000952,0.0003479088,0.0002242485,0.0004705592,0.0003255113,0.07844777],"category_scores_gemma":[0.0009397888,0.0007388522,0.0003208428,0.0002921252,0.00001977392,0.0002510742,0.0006009216,0.0004379826,0.00297281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003152,"about_ca_system_score_gemma":0.0003378299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009841164,"about_ca_topic_score_gemma":0.00003968172,"domain_scores_codex":[0.9954486,0.0002139422,0.001352063,0.001060051,0.00136379,0.0005615401],"domain_scores_gemma":[0.9961473,0.0001537254,0.001463439,0.001327396,0.000660796,0.0002473487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001416873,0.00005934416,1.872199e-7,0.3980046,0.0003727158,0.000002780448,0.000001284928,0.000002011962,0.000001614585,7.281774e-7,0.6015335,0.000007031068],"study_design_scores_gemma":[0.0003791996,0.0002839169,0.00005437908,0.5541699,0.001022397,0.000006962075,0.000006838852,0.0008763223,0.000001099394,0.0000153916,0.4427584,0.0004251426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.288195e-8,0.01855194,0.00003018975,0.00004354078,0.0002253005,0.01036849,0.9706081,0.0001581607,0.00001426144],"genre_scores_gemma":[6.436517e-7,0.0003320051,0.0002923843,0.002366514,0.0003390893,0.02317656,0.9731429,0.0001427868,0.0002071122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1587751,"threshold_uncertainty_score":0.9995062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06623810257854475,"score_gpt":0.3520295144547898,"score_spread":0.2857914118762451,"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."}}