{"id":"W6987906849","doi":"","title":"Valoració, intervenció i seguiment nutricional de futbolistes professionals per a la millora del seu rendiment i competitivitat","year":2017,"lang":"ca","type":"dissertation","venue":"Repositori ObertUDL (University of Lleida)","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Statistical analysis; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002397289,0.0003212059,0.0003336332,0.0009839409,0.00158239,0.002350099,0.0005868927,0.001257238,0.02337852],"category_scores_gemma":[0.005101336,0.0002257241,0.0004910092,0.0006780587,0.001094887,0.001087742,0.001735218,0.001167342,0.004227942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865858,"about_ca_system_score_gemma":0.0069573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009207983,"about_ca_topic_score_gemma":0.02325354,"domain_scores_codex":[0.998392,0.0006607617,0.000087619,0.0002094058,0.0003465837,0.0003035259],"domain_scores_gemma":[0.9969183,0.0008381773,0.0004427011,0.0001215379,0.0006004158,0.001078907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001963908,0.003672934,0.2612239,0.003913347,0.0001584074,0.002126622,0.03670376,0.0003289474,0.01013927,0.008959377,0.03549783,0.6353117],"study_design_scores_gemma":[0.0005446962,0.006557481,0.5035253,0.006553864,0.000413981,0.003345315,0.08461843,0.0007937269,0.006871332,0.01111997,0.37545,0.0002059731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402853,0.03026431,0.007785405,0.05739181,0.001309086,0.0006793236,0.0009369213,0.0002455438,0.1611023],"genre_scores_gemma":[0.8982909,0.0191721,0.01158645,0.005649007,0.0005330505,0.0006795579,0.0004611346,0.00008345996,0.06354433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02337852,"threshold_uncertainty_score":0.07820892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00751308060463875,"score_gpt":0.2593306723347533,"score_spread":0.2518175917301146,"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."}}