{"id":"W3015648316","doi":"10.1016/j.jneb.2020.02.020","title":"Determining eLearning Preferences to Inform Beverage Policy Training for Early Care and Education Teachers","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Robert Wood Johnson Foundation","keywords":"Psychological intervention; Medical education; The Internet; Focus group; Qualitative research; Descriptive statistics; Content analysis; Psychology; Training (meteorology); Medicine; Nursing; Computer science; Sociology; Business; Marketing; World Wide Web","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":[0.001864071,0.00023331,0.0002398391,0.0005160226,0.0003480927,0.001107102,0.0003753701,0.0006393873,0.009045377],"category_scores_gemma":[0.01130299,0.0001823002,0.0002813052,0.0004007586,0.0001384055,0.000835076,0.0005129182,0.0007618535,0.001263532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103056,"about_ca_system_score_gemma":0.0008192546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078354,"about_ca_topic_score_gemma":0.007633648,"domain_scores_codex":[0.9994129,0.0002612518,0.00005041626,0.00007271978,0.0001081301,0.00009461816],"domain_scores_gemma":[0.9959637,0.002735462,0.000512453,0.0001453094,0.0003573522,0.0002857553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002263316,0.0125145,0.6185891,0.0002608876,0.0001246717,0.0001944811,0.003094646,0.003372817,0.005418427,0.000740161,0.004407095,0.3490199],"study_design_scores_gemma":[0.0006362163,0.004554208,0.8941489,0.0008396126,0.0003873241,0.0003244845,0.01724608,0.03086584,0.02753795,0.005901886,0.01741471,0.000142894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933389,0.0000548983,0.001520397,0.0004663757,0.00001487822,0.00006333669,0.0001772845,0.00004478802,0.004319043],"genre_scores_gemma":[0.9859443,0.0001531105,0.01099026,0.0001749718,0.000008197186,0.0001127802,0.0002802002,0.00001291826,0.002323248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009045377,"threshold_uncertainty_score":0.03025985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955308614583222,"score_gpt":0.3686043100100466,"score_spread":0.3190512238642144,"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."}}