{"id":"W4400978123","doi":"10.1007/978-3-031-66538-7_12","title":"Patient-Centric Approach for Utilising Machine Learning to Predict Health-Related Quality of Life Changes During Chemotherapy","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Quality (philosophy); Artificial intelligence; Machine learning","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":[0.0009151868,0.0004299451,0.0003832733,0.0005842879,0.0001643147,0.0008541543,0.0006698173,0.0006482978,0.002569088],"category_scores_gemma":[0.00111819,0.0001875485,0.0005728126,0.0006944183,0.0001601439,0.0005975332,0.000554212,0.0008189232,0.000834782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779733,"about_ca_system_score_gemma":0.0006874465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246448,"about_ca_topic_score_gemma":0.00278232,"domain_scores_codex":[0.9997202,0.00008810104,0.00001821521,0.00006668753,0.00008403534,0.00002280642],"domain_scores_gemma":[0.9995502,0.0002516038,0.00002554821,0.0000415786,0.0001064931,0.000024552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004094655,0.0005728165,0.02594728,0.0002058458,0.0003534667,0.0003582371,0.0002034814,0.1742803,0.01497906,0.02386742,0.01669816,0.7421244],"study_design_scores_gemma":[0.00001775104,0.0002411397,0.00859186,0.00002526574,0.00008054046,0.0002931824,0.0000678308,0.9599857,0.005949778,0.01633158,0.008391157,0.00002425432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04442194,0.0007854366,0.9399546,0.001419184,0.000218194,0.0001649443,0.001297988,0.001169032,0.01056867],"genre_scores_gemma":[0.5303783,0.0009249454,0.4514502,0.0006913068,0.0002750526,0.0002449345,0.0016766,0.0001219474,0.01423667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002569088,"threshold_uncertainty_score":0.008594453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106625621485939,"score_gpt":0.286027756964194,"score_spread":0.2549615007493347,"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."}}