{"id":"W2911818205","doi":"10.1186/s12911-018-0715-6","title":"Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application","year":2019,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"SPARK (programming language); Usability; Fidelity; Health informatics; Focus group; Medicine; Perspective (graphical); Psychology; Computer science; Nursing; Public health; Human–computer interaction","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":[0.01063362,0.0008091612,0.0004547054,0.0009564402,0.000461949,0.001102475,0.001669068,0.0007284686,0.002787696],"category_scores_gemma":[0.0210492,0.0006316536,0.0009258417,0.0003242281,0.0005234782,0.00117571,0.001462103,0.00113447,0.0006188998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088637,"about_ca_system_score_gemma":0.00399159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097932,"about_ca_topic_score_gemma":0.006437544,"domain_scores_codex":[0.9955367,0.00222259,0.0005575942,0.0003684828,0.001028517,0.0002861405],"domain_scores_gemma":[0.9853662,0.008948656,0.0007797679,0.0005849102,0.003272817,0.001047625],"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":[0.001329255,0.004768291,0.07685119,0.004265399,0.0002361813,0.002156468,0.02515259,0.004744716,0.0313265,0.001648786,0.03024032,0.8172804],"study_design_scores_gemma":[0.002206594,0.02350925,0.308812,0.00782476,0.00124418,0.01012419,0.02316004,0.0482536,0.1055072,0.004016863,0.4642692,0.001072173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8086234,0.0009771045,0.1429937,0.00211127,0.0002589828,0.01652035,0.00351362,0.01172254,0.01327904],"genre_scores_gemma":[0.2752442,0.0007343881,0.7097724,0.0004818789,0.00003978038,0.00608238,0.002770364,0.0005696203,0.004305001],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01063362,"threshold_uncertainty_score":0.05623662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256252035848478,"score_gpt":0.4129141303019691,"score_spread":0.3703516099434843,"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."}}