{"id":"W4403225919","doi":"10.1016/j.cjca.2024.08.265","title":"UNDERSTANDING PATIENT/FAMILY PERSPECTIVES ON THE USE OF 3D PRINTED HEART MODELS OF CONGENITAL HEART DISEASE FOR FAMILY EDUCATION","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Heart disease; Disease; Cardiology; Internal medicine","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":[0.007237884,0.0003122581,0.0001991438,0.0007145777,0.002309602,0.002851341,0.0006219276,0.001670517,0.009458253],"category_scores_gemma":[0.03235724,0.0002318457,0.0005716052,0.000293919,0.001827161,0.002709782,0.002191331,0.002339521,0.0005437479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951528,"about_ca_system_score_gemma":0.001668742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004568188,"about_ca_topic_score_gemma":0.007034271,"domain_scores_codex":[0.9936214,0.004794928,0.0001633636,0.0001660257,0.0007832075,0.0004711479],"domain_scores_gemma":[0.9748907,0.01904787,0.002160357,0.0003257215,0.001572551,0.002002873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004069299,0.0005752631,0.09238399,0.0005472732,0.0001216204,0.009175434,0.7664875,0.0009649587,0.003381019,0.007359735,0.01858082,0.1000155],"study_design_scores_gemma":[0.00005249992,0.0005766248,0.04205931,0.001196124,0.0001253315,0.01007351,0.8700401,0.001390317,0.001711786,0.003741909,0.068845,0.0001874739],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211845,0.002280585,0.003393605,0.02869104,0.0003297677,0.00005190658,0.000251457,0.00004589293,0.04377135],"genre_scores_gemma":[0.9949155,0.0009209271,0.001011352,0.001510814,0.00004341935,0.00001631059,0.00004187753,0.00001502748,0.001524909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009458253,"threshold_uncertainty_score":0.03827804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06977241605350025,"score_gpt":0.2465921142616042,"score_spread":0.1768196982081039,"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."}}