{"id":"W4399266893","doi":"10.1007/978-3-031-61966-3_32","title":"Human-Centered Design of Cadre: A Digital Platform to Support Cardiac Arrest (Co-)Survivorship","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; Toronto General Hospital; University Health Network; University of Toronto","funders":"","keywords":"Survivorship curve; Computer science; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003552192,0.0007598802,0.0002003078,0.0006440884,0.000846354,0.002270161,0.001361062,0.0009563837,0.006331795],"category_scores_gemma":[0.00542909,0.0002555706,0.0004858417,0.0002152534,0.001318684,0.001796888,0.002512579,0.0009257597,0.0009551707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006961086,"about_ca_system_score_gemma":0.00155018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000638732,"about_ca_topic_score_gemma":0.001314207,"domain_scores_codex":[0.9974722,0.001843692,0.0000866508,0.0001925283,0.0002487653,0.0001560415],"domain_scores_gemma":[0.997335,0.001339725,0.0001075649,0.0003722264,0.0003494842,0.0004958236],"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":[0.001143865,0.00334914,0.01626339,0.004962192,0.0002096987,0.002952262,0.08182885,0.02226613,0.07897961,0.11864,0.03418426,0.6352206],"study_design_scores_gemma":[0.0005999962,0.006482061,0.0191971,0.002247062,0.0003942605,0.003194754,0.03894561,0.06424178,0.03009408,0.05268917,0.7816167,0.0002973847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2622678,0.000897087,0.6465986,0.003683743,0.0005479538,0.004699853,0.0004241287,0.00345422,0.07742672],"genre_scores_gemma":[0.5312883,0.0006697221,0.4503267,0.0008667154,0.00005263639,0.002940613,0.0004410345,0.0002379495,0.01317638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006331795,"threshold_uncertainty_score":0.021182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08656729767758396,"score_gpt":0.3458134089376828,"score_spread":0.2592461112600988,"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."}}