{"id":"W3169557548","doi":"10.1101/2021.06.03.21257424","title":"Developing and testing an arts-based, digital knowledge translation tool for parents about childhood croup","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Educational Technology in Learning","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Croup; Usability; Apprehension; Knowledge translation; Health care; Psychology; Medicine; Nursing; Medical education; Knowledge management; Pediatrics; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008223978,0.0007680543,0.0003178259,0.001018123,0.0005723452,0.001850171,0.001107272,0.0008751678,0.006459868],"category_scores_gemma":[0.02626278,0.0003347793,0.0005160853,0.0003777094,0.0006898617,0.001831414,0.001558388,0.0007375146,0.001166668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006262193,"about_ca_system_score_gemma":0.001365972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009094805,"about_ca_topic_score_gemma":0.001254888,"domain_scores_codex":[0.997542,0.001514535,0.0002014607,0.0002366805,0.0003625192,0.0001427488],"domain_scores_gemma":[0.977484,0.01941998,0.0004818657,0.0009646758,0.001181519,0.0004679203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000825954,0.008613654,0.03028931,0.00198827,0.00007877625,0.001957129,0.06850783,0.002265007,0.03640198,0.00211344,0.009385495,0.8375732],"study_design_scores_gemma":[0.003025965,0.03156587,0.2442244,0.007984593,0.001004704,0.00801924,0.1435819,0.07409585,0.1858432,0.01443458,0.2853029,0.000916653],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8896713,0.0001915887,0.08648565,0.0006979051,0.0001258174,0.006544284,0.0006920461,0.003527512,0.01206386],"genre_scores_gemma":[0.6583185,0.0004293448,0.3255654,0.0003955795,0.00003959888,0.004866741,0.001083164,0.0004207164,0.008880906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008223978,"threshold_uncertainty_score":0.04349309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1110995706182244,"score_gpt":0.3551596736888417,"score_spread":0.2440601030706173,"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."}}