{"id":"W2494977226","doi":"10.1136/bjsports-2016-096457","title":"Bringing complexity to sports injury prevention research: from simplification to explanation","year":2016,"lang":"en","type":"editorial","venue":"British Journal of Sports Medicine","topic":"Sports injuries and prevention","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Psychological intervention; Intervention (counseling); Sports injury; Perspective (graphical); Injury prevention; Medicine; Work (physics); Poison control; Physical therapy; Computer science; Medical emergency; Nursing; Engineering; Artificial intelligence","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":[0.02282734,0.003757933,0.003189571,0.003695364,0.002825453,0.009949689,0.004662916,0.0115657,0.005345254],"category_scores_gemma":[0.1003173,0.001227295,0.002130196,0.001751183,0.009816457,0.01140662,0.002390251,0.03116493,0.004080568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003843645,"about_ca_system_score_gemma":0.004743516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835503,"about_ca_topic_score_gemma":0.003403858,"domain_scores_codex":[0.9866902,0.005044289,0.002397394,0.001156189,0.004240931,0.0004710472],"domain_scores_gemma":[0.8753319,0.09564681,0.003544821,0.002614254,0.01917689,0.003685398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006912876,0.00001471245,0.00005523733,0.001106778,0.0000383552,0.000121521,0.0002162262,0.00008115173,0.00006629813,0.003754446,0.9817266,0.01274951],"study_design_scores_gemma":[0.00008095356,0.00006022658,0.0002691472,0.002926371,0.00007112787,0.0003281817,0.0003063088,0.0002851324,0.0001195175,0.01364813,0.9818597,0.00004521137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000562028,0.02176068,0.0004550676,0.1012379,0.8757395,0.00001795347,0.00002481394,0.00006025186,0.0006475964],"genre_scores_gemma":[0.0008817277,0.01597813,0.0004327121,0.05681482,0.9234197,0.00003188794,0.00001772899,0.00004345089,0.002379977],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02282734,"threshold_uncertainty_score":0.120724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05785810887838973,"score_gpt":0.4008678295675081,"score_spread":0.3430097206891184,"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."}}