{"id":"W3011727298","doi":"10.1075/idj.25.1.09noe","title":"Designing bowel preparation patient instructions to improve colon cancer detection","year":2020,"lang":"en","type":"article","venue":"Information Design Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Legibility; CLARITY; Computer science; Process (computing); Comprehension; Information design; Health care; Medical education; Medicine; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001184042,0.000106286,0.0001210528,0.000258335,0.001910173,0.0001253596,0.0001523916,0.0001110252,0.0004528755],"category_scores_gemma":[0.001200509,0.00009344339,0.00003573759,0.0006481729,0.00002213119,0.002543512,0.00003532085,0.0006904341,0.0007634959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155422,"about_ca_system_score_gemma":0.001805811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053284,"about_ca_topic_score_gemma":0.00002462092,"domain_scores_codex":[0.9975157,0.0004852976,0.0008542755,0.0001187764,0.0005258099,0.0005001222],"domain_scores_gemma":[0.9977301,0.0001698022,0.0004713529,0.00009480149,0.0007543895,0.000779584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001668901,0.00004808006,0.002337081,0.0002926636,0.00004067551,0.000002064807,0.2153178,0.0453008,0.04429404,0.00008108264,0.2459022,0.4447147],"study_design_scores_gemma":[0.003925292,0.007482411,0.01536192,0.0006007287,0.00005707832,0.00008139237,0.08036214,0.2267953,0.05153849,0.0008736646,0.6118429,0.001078691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876861,0.00002396845,0.7981456,0.007925374,0.003515888,0.001761229,0.00001169995,0.0000882751,0.0008418882],"genre_scores_gemma":[0.9762113,0.00006627891,0.01440017,0.007694168,0.001005341,0.0005341072,0.000007204144,0.000009423951,0.0000719909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7885252,"threshold_uncertainty_score":0.9993892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229159389658855,"score_gpt":0.4482315021188757,"score_spread":0.3253155631529903,"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."}}