{"id":"W4383618999","doi":"10.1016/j.jneb.2023.05.182","title":"More PEAS Please! Teaching Head Start Teachers How to Integrate Food-Based Learning Into Preschool Science","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Summative assessment; Formative assessment; Psychology; Professional development; Head start; Medical education; Intervention (counseling); Faculty development; Science learning; Mathematics education; Science education; Pedagogy; Medicine; Developmental psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009353404,0.0007272419,0.0007424512,0.000974223,0.003392404,0.00272575,0.001129113,0.002432448,0.3245917],"category_scores_gemma":[0.004503061,0.0004852934,0.0007817571,0.0005106168,0.0006362291,0.003544652,0.004640813,0.003730595,0.1444995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989252,"about_ca_system_score_gemma":0.002397304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005015352,"about_ca_topic_score_gemma":0.02401213,"domain_scores_codex":[0.9994724,0.00007924487,0.00002553555,0.00008403863,0.0001887472,0.0001500735],"domain_scores_gemma":[0.9952052,0.0004396372,0.000176522,0.0002176665,0.001054249,0.002906814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001189675,0.001237573,0.002484983,0.0002672618,0.000005717593,0.0004515406,0.001854501,0.00003916966,0.001807596,0.0007825939,0.8412479,0.1497023],"study_design_scores_gemma":[0.0000966552,0.0003066369,0.01421675,0.0005706637,0.00002268492,0.0004434633,0.01091722,0.00009094813,0.001584989,0.002963547,0.9687226,0.00006381431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06282824,0.005301575,0.02304401,0.125187,0.02814783,0.001766324,0.003234998,0.01712742,0.7333625],"genre_scores_gemma":[0.05245332,0.003473131,0.02750696,0.02022191,0.00197265,0.0009419217,0.001142757,0.001549763,0.8907375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3245917,"threshold_uncertainty_score":0.9633879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901228285903134,"score_gpt":0.3530443109412549,"score_spread":0.3240320280822236,"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."}}