{"id":"W2022008319","doi":"10.1016/j.evalprogplan.2014.06.002","title":"Evaluation of a cartoon-based knowledge dissemination intervention on scientific and ethical challenges raised by nutrigenomics/nutrigenetics research","year":2014,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Nutrigenomics; Thematic analysis; Knowledge translation; Dissemination; Research ethics; Intervention (counseling); Psychology; Action (physics); Medical education; Public relations; Medicine; Qualitative research; Political science; Knowledge management; Sociology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01146382,0.0001226041,0.0001214679,0.0001808035,0.0002197861,0.00009254833,0.00007973926,0.0002210481,0.00001526724],"category_scores_gemma":[0.001367764,0.0001273929,0.00004524509,0.0001259563,0.0002410308,0.000004523019,0.00003611376,0.0001459619,0.000001662959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003572839,"about_ca_system_score_gemma":0.0001428338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002078745,"about_ca_topic_score_gemma":0.00001050566,"domain_scores_codex":[0.9968488,0.001464405,0.0002661147,0.0004440196,0.0007895473,0.00018711],"domain_scores_gemma":[0.9978954,0.0001406388,0.0001103785,0.000224356,0.001518077,0.0001112038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003528184,0.0008403786,0.001883311,0.0003106263,0.00004308022,1.21759e-7,0.0009642926,0.0003476852,0.1014281,0.0003889524,0.002473089,0.8909675],"study_design_scores_gemma":[0.01681273,0.008202977,0.05449892,0.001576211,0.0007012704,0.000004792536,0.00205494,0.4713276,0.3771341,0.01369492,0.05294348,0.001048014],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969318,0.02791607,0.0004855367,0.0002301848,0.0001112655,0.001026249,0.0000210828,0.00001339337,0.0008782695],"genre_scores_gemma":[0.9980953,0.000420099,0.0003589101,0.00001725864,0.0001125502,0.0001904224,0.0007616499,0.00001446914,0.00002937334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8899195,"threshold_uncertainty_score":0.519493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347473837886076,"score_gpt":0.4840795865420876,"score_spread":0.34933220275348,"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."}}