{"id":"W2019933371","doi":"10.2196/mhealth.3345","title":"Diet App Use by Sports Dietitians: A Survey in Five Countries","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Athletes; Sports nutrition; Phone; Computer-assisted web interviewing; Family medicine; Physical therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005252857,0.0004412312,0.0009338197,0.0003279989,0.001108954,0.0000328667,0.0002550045,0.0005664831,0.0001111118],"category_scores_gemma":[0.0006468113,0.0004179399,0.00004470248,0.0007960718,0.0002070875,0.0003990834,0.0001291752,0.001492925,0.0002150082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737354,"about_ca_system_score_gemma":0.005206238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02558989,"about_ca_topic_score_gemma":0.0159106,"domain_scores_codex":[0.9925831,0.001531595,0.001939479,0.0009393499,0.0006806413,0.002325831],"domain_scores_gemma":[0.993268,0.00143075,0.0007633705,0.0007394347,0.000475658,0.003322825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001492088,0.0002221642,0.7141665,0.002374758,0.000004237623,0.000007731923,0.003423024,0.00000224356,3.952648e-7,0.002805948,0.2719067,0.003594151],"study_design_scores_gemma":[0.002486937,0.0004181838,0.5775391,0.0002385371,0.00001255755,0.000003991582,0.001175677,0.00008692758,2.881069e-7,0.0005484369,0.4172167,0.0002727253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693846,0.006324842,0.0001589077,0.0109726,0.001149505,0.008247004,0.001339883,0.000361842,0.002060842],"genre_scores_gemma":[0.9448123,0.0167762,0.0004075399,0.02523981,0.0004246833,0.008175636,0.0009716998,0.0001009536,0.003091163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14531,"threshold_uncertainty_score":0.9998273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229617590593815,"score_gpt":0.4551912742057496,"score_spread":0.3322295151463681,"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."}}