{"id":"W2996115387","doi":"10.1016/j.jneb.2019.11.004","title":"Pairing Feeding Content With a Nutrition Education Curriculum: A Comparison of Online and In-Class Delivery","year":2019,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agricultural Research Service; Department of Pediatrics, University of Florida; Government of South Australia; Baylor College of Medicine; U.S. Department of Agriculture","keywords":"Pairing; Curriculum; Class (philosophy); Content delivery; Psychology; Computer science; Pedagogy; Physics; Computer network; Artificial intelligence","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":[0.00324778,0.0005898685,0.00126984,0.0009424305,0.0007061808,0.001398945,0.001180803,0.0009285418,0.01679691],"category_scores_gemma":[0.01859214,0.0004806332,0.0005518718,0.0007472379,0.0002879095,0.001020082,0.001360535,0.001317856,0.002172129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009819878,"about_ca_system_score_gemma":0.001825013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251633,"about_ca_topic_score_gemma":0.002890509,"domain_scores_codex":[0.9975002,0.001138192,0.0002322373,0.0002943332,0.000531877,0.0003030896],"domain_scores_gemma":[0.9892958,0.006083106,0.0008199097,0.0006269456,0.0008454444,0.002328795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09694109,0.2141068,0.01958706,0.002054316,0.0004002678,0.0001661878,0.002773646,0.001074346,0.01216252,0.0005167437,0.002576046,0.6476408],"study_design_scores_gemma":[0.05312015,0.5163148,0.3386079,0.00205473,0.004064173,0.0004615664,0.007874864,0.008869481,0.03313126,0.001425712,0.03378701,0.0002883326],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895275,0.0003132197,0.001819897,0.0002058734,0.0002785252,0.001636898,0.000238298,0.0002508165,0.005729119],"genre_scores_gemma":[0.9797047,0.0007532771,0.009819214,0.0004104607,0.0002119905,0.00194082,0.0005520593,0.00009015414,0.006517327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01679691,"threshold_uncertainty_score":0.05619127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046112087559825,"score_gpt":0.3248424274378856,"score_spread":0.2943813065622873,"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."}}