{"id":"W4411184681","doi":"10.3390/app15126520","title":"Rugby Sevens sRPE Workload Imputation Using Objective Models of Measurement","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of Victoria","funders":"Mitacs","keywords":"Imputation (statistics); Computer science; Statistics; Mathematics; Missing data","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":[0.01928419,0.001175007,0.001640594,0.000941038,0.0005443256,0.002000629,0.002101642,0.0008859712,0.002552264],"category_scores_gemma":[0.0629786,0.0005071636,0.002149852,0.001843128,0.0004597579,0.001221749,0.001509484,0.001740756,0.001077972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006117232,"about_ca_system_score_gemma":0.001699292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007337678,"about_ca_topic_score_gemma":0.008730924,"domain_scores_codex":[0.9894086,0.006892234,0.0005528095,0.001535226,0.001286615,0.0003245117],"domain_scores_gemma":[0.9755309,0.01415984,0.002873366,0.004748469,0.0025051,0.0001823668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001057129,0.0006411641,0.379287,0.001509446,0.003541945,0.0003559609,0.001980215,0.2068988,0.001756,0.01870073,0.01466603,0.3696056],"study_design_scores_gemma":[0.0001672537,0.00118211,0.2104132,0.001219381,0.000727313,0.0004160308,0.0009664492,0.7204093,0.002454468,0.04008382,0.02173921,0.0002214659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1751452,0.001360443,0.8157398,0.0006835246,0.0002219719,0.0004132044,0.003422245,0.0008808048,0.002132926],"genre_scores_gemma":[0.714105,0.0008872469,0.2702839,0.0003988567,0.0001650333,0.001517977,0.009026564,0.0002401569,0.003375119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01928419,"threshold_uncertainty_score":0.1019858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07846359737633005,"score_gpt":0.3239250289929498,"score_spread":0.2454614316166198,"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."}}