{"id":"W2897004775","doi":"10.1108/bfj-10-2017-0592","title":"Linked models and theories: a tool for school nutrition policies deployment","year":2018,"lang":"en","type":"article","venue":"British Food Journal","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Software deployment; Conceptual framework; Thematic analysis; Conceptual model; Promotion (chess); Population; Knowledge management; Social marketing; Qualitative research; Management science; Sociology; Public relations; Marketing; Computer science; Business; Political science; Engineering; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02841694,0.001655436,0.0008051314,0.008949586,0.00273569,0.008927274,0.003236145,0.002550473,0.02513592],"category_scores_gemma":[0.065962,0.001107524,0.002307617,0.006752466,0.003063701,0.01253886,0.007460862,0.004758365,0.003292019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004030039,"about_ca_system_score_gemma":0.006471407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725261,"about_ca_topic_score_gemma":0.003753835,"domain_scores_codex":[0.9895301,0.007900048,0.0007626006,0.000525476,0.001059756,0.0002219527],"domain_scores_gemma":[0.9291828,0.06000588,0.001611477,0.006130281,0.002275158,0.0007944995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001739792,0.0009218322,0.00706064,0.001646082,0.0001940421,0.001007881,0.0690783,0.01411915,0.001136071,0.5756224,0.03591559,0.2931241],"study_design_scores_gemma":[0.0002038763,0.0002252757,0.002145228,0.004518356,0.0001817843,0.0005985441,0.05579305,0.07814297,0.001688477,0.5260126,0.330319,0.000170816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02017163,0.0003710181,0.9051226,0.007382993,0.0002795164,0.002137105,0.003211006,0.00773711,0.05358699],"genre_scores_gemma":[0.06746452,0.0003164385,0.9243994,0.0003078637,0.00002846762,0.002818147,0.001665599,0.0004793025,0.002520158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02841694,"threshold_uncertainty_score":0.1502849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444537516019462,"score_gpt":0.431285094284394,"score_spread":0.2868313426824478,"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."}}