{"id":"W4415601427","doi":"10.14740/aicm9","title":"Benefits of AI in Transforming Cancer Care","year":2025,"lang":"en","type":"article","venue":"AI in Clinical Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Precision medicine; Cancer; Transformative learning; Clinical trial; Quality of life (healthcare); Health care; Wearable technology; Patient care; MEDLINE","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":[0.01964203,0.0008387663,0.0004785258,0.002203001,0.002641645,0.01112186,0.001641666,0.005116624,0.01288142],"category_scores_gemma":[0.04837292,0.000374734,0.0008221176,0.002061854,0.01040755,0.009871844,0.01018166,0.006935413,0.003917028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004611139,"about_ca_system_score_gemma":0.009444338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002394425,"about_ca_topic_score_gemma":0.002366699,"domain_scores_codex":[0.9851656,0.01072361,0.000423492,0.0005865496,0.002325329,0.0007755047],"domain_scores_gemma":[0.9648781,0.02144959,0.001448569,0.00329452,0.003566421,0.005362788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001792045,0.0002519529,0.006072792,0.0009275245,0.000139327,0.0003401879,0.003191953,0.004636208,0.0004148227,0.5002621,0.1156205,0.3679634],"study_design_scores_gemma":[0.00007985292,0.000130743,0.002401485,0.001585884,0.00004960981,0.0003764616,0.002573799,0.001938098,0.0003580839,0.5194485,0.4709983,0.00005927265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008099537,0.0300268,0.03986146,0.7490205,0.005426794,0.0001663795,0.0002750602,0.000590715,0.1665327],"genre_scores_gemma":[0.6557923,0.07515334,0.08841755,0.1439498,0.01684367,0.0006154883,0.0005492352,0.0005541004,0.01812441],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01964203,"threshold_uncertainty_score":0.1038783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2678664382993822,"score_gpt":0.5869836078935813,"score_spread":0.3191171695941991,"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."}}