{"id":"W2829322989","doi":"10.1016/j.jneb.2018.04.204","title":"MassCAMPS: A National Training Model","year":2018,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Summative assessment; Trainer; Formative assessment; Medical education; Certification; Psychology; Medicine; Pedagogy; Computer science; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00293009,0.0002508895,0.0001817978,0.0005378815,0.002850808,0.002038293,0.002174089,0.001148324,0.04019831],"category_scores_gemma":[0.002333122,0.0002536342,0.0003870021,0.0005836185,0.0009131669,0.001883663,0.004291294,0.001773115,0.004203836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003502743,"about_ca_system_score_gemma":0.0149299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01671999,"about_ca_topic_score_gemma":0.08767704,"domain_scores_codex":[0.9987442,0.0003530379,0.00002755443,0.0001768365,0.0001993555,0.0004990783],"domain_scores_gemma":[0.9972553,0.0001552089,0.00006896212,0.0001409325,0.0002298597,0.002149748],"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":[0.002531639,0.02122639,0.07013586,0.0002856586,0.0000907974,0.0004584714,0.004166632,0.010073,0.002013957,0.1326825,0.2100296,0.5463055],"study_design_scores_gemma":[0.002852792,0.007840798,0.1735012,0.001489929,0.0002071909,0.0009701933,0.01949029,0.05636352,0.002375377,0.09051815,0.6441988,0.0001918829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3990543,0.0004115778,0.02805664,0.04510411,0.002029337,0.003488034,0.001347201,0.0008512595,0.5196576],"genre_scores_gemma":[0.8186569,0.0004378794,0.03311125,0.009763354,0.0002822168,0.003197152,0.00102951,0.00009795805,0.1334239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04019831,"threshold_uncertainty_score":0.1344768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503440425981684,"score_gpt":0.3612440118500678,"score_spread":0.306209607590251,"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."}}