{"id":"W4307232275","doi":"10.1111/sms.14249","title":"Differences in kinetic variables between injured and uninjured rearfoot runners: A hierarchical cluster analysis","year":2022,"lang":"en","type":"article","venue":"Scandinavian Journal of Medicine and Science in Sports","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Running Injury Clinic; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster (spacecraft); Ground reaction force; Hierarchical clustering; Medicine; Incidence (geometry); Physical medicine and rehabilitation; Etiology; Physical therapy; Mathematics; Statistics; Internal medicine; Computer science; Cluster analysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001225748,0.0002779817,0.0003841921,0.001892126,0.0004644073,0.0008059796,0.0003521965,0.0001755518,0.001323229],"category_scores_gemma":[0.003519789,0.000108667,0.0004486807,0.0009582753,0.0004289591,0.0002795332,0.0005873999,0.0002594015,0.0001889795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797398,"about_ca_system_score_gemma":0.0006435307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005231022,"about_ca_topic_score_gemma":0.004818329,"domain_scores_codex":[0.9992815,0.0001611758,0.0000908973,0.0001822321,0.0001919948,0.00009227072],"domain_scores_gemma":[0.9985284,0.0004804995,0.0002649489,0.000162034,0.0004171639,0.0001469056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001418493,0.0002433508,0.9365813,0.0001148386,0.0004144304,0.0002749926,0.002240252,0.001333391,0.01144308,0.0003683296,0.0005937812,0.04497389],"study_design_scores_gemma":[0.00002016524,0.0002808026,0.9886643,0.00002183004,0.000124094,0.0002224681,0.001663663,0.007241984,0.001000522,0.0003810711,0.0003544766,0.00002456417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952442,0.00005303768,0.004075728,0.00002117627,0.000006443817,0.00007352058,0.0001791819,0.0000233689,0.0003234755],"genre_scores_gemma":[0.9971632,0.00002398444,0.002252306,0.000004505035,0.000003412062,0.0000366791,0.000346445,0.000007397333,0.0001619917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005231022,"threshold_uncertainty_score":0.01040113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016920894161653,"score_gpt":0.253125816115652,"score_spread":0.2329566071740355,"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."}}