{"id":"W3028510917","doi":"10.1016/j.jneb.2020.04.007","title":"Evaluating an Interactive Digital Intervention for College Weight Gain Prevention","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"George Washington University","keywords":"Intervention (counseling); Usability; Comprehension; Behavior change; Psychology; Physical activity; Weight gain; Medicine; Multimedia; Physical therapy; Computer science; Body weight; Social psychology; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002395861,0.001208153,0.001054337,0.0009057575,0.001052514,0.0008758652,0.0012397,0.001105121,0.01364935],"category_scores_gemma":[0.005698105,0.0005116818,0.001103975,0.0004921699,0.0004680028,0.0008047973,0.001406211,0.001150395,0.0009916093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266927,"about_ca_system_score_gemma":0.003062766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004487759,"about_ca_topic_score_gemma":0.007931201,"domain_scores_codex":[0.9983217,0.000695503,0.0002112761,0.0002303639,0.0002845798,0.0002566031],"domain_scores_gemma":[0.9966379,0.001939879,0.0002506116,0.0001727006,0.0002583154,0.0007405623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.1110547,0.4675303,0.009327083,0.00275516,0.001053555,0.000199722,0.001765594,0.0015406,0.005303417,0.0004654097,0.001545313,0.3974593],"study_design_scores_gemma":[0.1445221,0.7702108,0.05764282,0.0008561357,0.004528014,0.0001295335,0.001944442,0.006102405,0.00688476,0.0006482889,0.006416776,0.0001138885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871842,0.0002981302,0.001203458,0.0002679869,0.0001509422,0.007496175,0.0003546329,0.0001623883,0.002882029],"genre_scores_gemma":[0.9539955,0.0009893117,0.02036712,0.0004916147,0.0001824073,0.01838369,0.0005482727,0.00003552257,0.005006486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364935,"threshold_uncertainty_score":0.04566163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274657772269839,"score_gpt":0.5381126587101689,"score_spread":0.410646881483185,"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."}}