{"id":"W4383621345","doi":"10.1016/j.jneb.2023.05.089","title":"School Situational Analysis Helps to Explain the Landscape for Future Nutrition Education","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Nutrition Education; Situation analysis; Situational ethics; Medical education; Agency (philosophy); Psychology; Identification (biology); Nursing; Medicine; Gerontology; Sociology; Social psychology; Ecology; Marketing","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":[0.001611639,0.0004966867,0.0003632848,0.003092822,0.002254874,0.005196692,0.0007356963,0.0007726608,0.01602906],"category_scores_gemma":[0.004351169,0.0002599615,0.0005707809,0.001253367,0.001273205,0.004121913,0.001607227,0.001572597,0.001071752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373318,"about_ca_system_score_gemma":0.00303178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087736,"about_ca_topic_score_gemma":0.03119968,"domain_scores_codex":[0.9990896,0.0004783118,0.00006044096,0.0001238152,0.0001174593,0.0001304531],"domain_scores_gemma":[0.9967068,0.001521473,0.0004559729,0.0002585516,0.0007426462,0.0003146452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002032457,0.001032431,0.3306822,0.0005556434,0.0001010865,0.001797896,0.06446259,0.006392334,0.003191878,0.3578487,0.01578452,0.2179476],"study_design_scores_gemma":[0.00003511718,0.0002927932,0.2052565,0.0008103902,0.0001689094,0.0009695031,0.3108811,0.04137666,0.004447486,0.3456526,0.0899153,0.0001935369],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6158884,0.0008913,0.1582735,0.02250256,0.000353588,0.000475579,0.00162449,0.00146644,0.1985242],"genre_scores_gemma":[0.9778228,0.0001901456,0.01914699,0.0001380829,0.00001516258,0.00003786384,0.0002518375,0.00004638077,0.002350687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01602906,"threshold_uncertainty_score":0.05362254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040729136351155,"score_gpt":0.3088516589185101,"score_spread":0.2784443675549986,"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."}}