{"id":"W2952097947","doi":"10.5897/jpesm2015.0234","title":"Making the best food choices before competing: Developing and evaluating a nutritional intervention with the intervention-mapping framework","year":2016,"lang":"en","type":"article","venue":"Journal of physical education and sport","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Athletes; Cafeteria; Promotion (chess); Psychology; Medical education; Applied psychology; Physical therapy; Medicine; Political science; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845052,0.00007153633,0.0000960236,0.00003217655,0.0001380572,0.00004473907,0.00007888953,0.00003015734,0.000004238876],"category_scores_gemma":[0.00007913433,0.00003371296,0.00006998316,0.00005995201,0.00007900252,0.00002004461,0.00003023543,0.00009127499,2.808773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009447408,"about_ca_system_score_gemma":0.00005656057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001665834,"about_ca_topic_score_gemma":0.000005895422,"domain_scores_codex":[0.9994543,0.0000452299,0.0001904095,0.0000980987,0.0001385007,0.00007351078],"domain_scores_gemma":[0.9993932,0.00003833321,0.0002810937,0.0000683094,0.0001906622,0.00002845727],"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":[0.0005169563,0.001649354,0.08954143,0.0004207225,0.0004338707,0.000001533205,0.003405609,0.000005522712,0.04032576,0.03734013,0.0005026176,0.8258565],"study_design_scores_gemma":[0.004706328,0.004549624,0.8334185,0.01062203,0.0003971111,0.0005659188,0.02467554,0.0001822197,0.00873363,0.02695851,0.08457132,0.000619248],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897423,0.001133619,0.005996858,0.002904516,0.0001029886,0.00008755388,0.00000175951,0.000001483665,0.00002886421],"genre_scores_gemma":[0.9971663,0.00007188089,0.001579787,0.0001619522,0.0009686765,0.00001011165,0.000005293002,0.000005793732,0.00003025308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8252373,"threshold_uncertainty_score":0.1374775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480165754261658,"score_gpt":0.3403392588240428,"score_spread":0.3155376012814262,"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."}}