{"id":"W4412360610","doi":"10.1002/ejsc.70015","title":"Falling and Landing Framework (FLF): A Consensus on a Novel Falling and Landing Video Analysis Framework for Use Across Rugby Codes","year":2025,"lang":"en","type":"article","venue":"European Journal of Sport Science","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"League; Falling (accident); Team sport; Delphi method; Football; Computer science; Aeronautics; Psychology; Engineering; Political science; Medicine; Physical therapy; Artificial intelligence; Law; Athletes","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":[0.08807462,0.00196278,0.001530389,0.01703556,0.007353111,0.008931803,0.004919793,0.003624128,0.004395664],"category_scores_gemma":[0.107052,0.001098924,0.003459251,0.005477783,0.007397833,0.00900997,0.01711562,0.006280146,0.002101269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01907386,"about_ca_system_score_gemma":0.05598801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04484841,"about_ca_topic_score_gemma":0.0646644,"domain_scores_codex":[0.9556694,0.02091611,0.008901813,0.003379724,0.008899538,0.002233313],"domain_scores_gemma":[0.9187109,0.02778034,0.004404493,0.004234312,0.03994297,0.004926963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001898622,0.0003613278,0.01671359,0.008324906,0.0001247071,0.001617866,0.2781078,0.002233394,0.006986957,0.09377382,0.07536788,0.5161979],"study_design_scores_gemma":[0.0001499145,0.0004995171,0.03391846,0.02761477,0.0003020633,0.002009559,0.2559259,0.008780956,0.00335627,0.08257667,0.5842369,0.0006291316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09671349,0.006918549,0.7061774,0.05373136,0.002917984,0.03633693,0.00643823,0.002773529,0.08799258],"genre_scores_gemma":[0.1261763,0.002241484,0.8373855,0.002717058,0.0001875598,0.01828097,0.004603705,0.0005506173,0.007856899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08807462,"threshold_uncertainty_score":0.4657887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809377023581078,"score_gpt":0.352934524464124,"score_spread":0.3148407542283132,"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."}}