{"id":"W4412952171","doi":"10.1016/j.jneb.2025.05.125","title":"Increased Bandwidth: Program Planning Evaluation Cycle","year":2025,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004711609,0.00006859918,0.0001077857,0.0002795823,0.0001151853,0.0001938929,0.0001736254,0.00004174111,0.00001542559],"category_scores_gemma":[0.00005238472,0.00006224732,0.00004661581,0.0002836568,0.00001501761,0.0004351782,0.0000295107,0.0001110532,0.000001341109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006584867,"about_ca_system_score_gemma":0.0002607906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006983633,"about_ca_topic_score_gemma":5.46848e-7,"domain_scores_codex":[0.999208,0.00006999808,0.0002917239,0.0001151073,0.000220822,0.00009430699],"domain_scores_gemma":[0.99917,0.00004521906,0.0001875093,0.0001139775,0.0004130648,0.00007024777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000008091439,0.006136868,0.01747875,0.00004627505,0.00001261432,0.000003318151,0.000494162,0.00002576023,0.0009556016,0.0009811984,0.004172135,0.9696852],"study_design_scores_gemma":[0.002819649,0.0004123787,0.9456928,0.001067429,0.0002752971,0.0002919236,0.001264904,0.02054184,0.002044261,0.00458678,0.02074499,0.0002577596],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870323,0.001151161,0.008524271,0.001047392,0.001386719,0.0003008911,3.909055e-7,0.00003596625,0.0005209079],"genre_scores_gemma":[0.96584,0.0000274056,0.03360746,0.0002130326,0.0002014082,0.00007439266,0.000003689451,0.000002822629,0.00002982306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9694275,"threshold_uncertainty_score":0.2538372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848779225072877,"score_gpt":0.36700692068502,"score_spread":0.3385191284342912,"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."}}