{"id":"W4366779885","doi":"10.32370/ia_2023_03_10","title":"Implementation of Strength Fitness Components by Means of Functional Training","year":2023,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Physical Education and Training Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Functional training; Context (archaeology); Computer science; Strength training; Physical medicine and rehabilitation; Physical strength; Endurance training; Training (meteorology); Muscle strength; Muscle mass; Physical fitness; Medicine; Physical therapy; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000164561,0.00007905293,0.000197377,0.0001146368,0.0002009839,0.000001101182,0.00007860313,0.00002233233,0.001014668],"category_scores_gemma":[0.0003224719,0.00007059199,0.00005478089,0.0002670486,0.0001247154,0.00003097365,0.00006066614,0.0001802952,0.0001151793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001966495,"about_ca_system_score_gemma":0.0001509049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002433055,"about_ca_topic_score_gemma":0.00009996285,"domain_scores_codex":[0.9989421,0.0001617238,0.0003688727,0.0001286586,0.0001865083,0.0002121015],"domain_scores_gemma":[0.9969618,0.002676476,0.00014765,0.00007883045,0.00009017647,0.00004508594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001761095,0.0002445244,0.009973627,0.0002182763,0.0003434953,4.07e-7,0.693295,0.00006506916,0.02858417,0.008237272,0.2140141,0.04484791],"study_design_scores_gemma":[0.002859022,0.0005089893,0.3885376,0.0003959106,0.00007566773,6.094417e-7,0.5525363,0.002748653,0.00738894,0.01488642,0.02971619,0.0003457159],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899953,0.000009979705,0.001766644,0.0004645894,0.0004049903,0.000214448,0.0003671148,0.00005583741,0.006721111],"genre_scores_gemma":[0.9988418,0.00001718122,0.0001003292,0.0001000369,0.00008555342,0.00005167238,0.0003584934,0.000009836361,0.000435084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.378564,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849768931755126,"score_gpt":0.4528696229180297,"score_spread":0.2678927297425172,"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."}}