{"id":"W4415601405","doi":"10.14740/aicm5","title":"Generative Artificial Intelligence as a Catalyst for Effective Cancer Treatments","year":2025,"lang":"en","type":"article","venue":"AI in Clinical Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cancer; Immunotherapy; Precision medicine; Disease; Cancer immunotherapy; Cancer therapy; Cancer treatment","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":[0.002550921,0.0005640365,0.0007661774,0.0009965716,0.0007562451,0.003918211,0.001441368,0.002437874,0.005520127],"category_scores_gemma":[0.007609534,0.0004037162,0.0007430841,0.0006438915,0.006419432,0.003476952,0.002926111,0.004413357,0.001238726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838676,"about_ca_system_score_gemma":0.001394011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291601,"about_ca_topic_score_gemma":0.001019478,"domain_scores_codex":[0.9987049,0.0005767057,0.00005317674,0.0002330613,0.0003267801,0.0001052867],"domain_scores_gemma":[0.9964813,0.002594336,0.000150678,0.0004318786,0.0002040723,0.0001377006],"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":[0.00002463065,0.00003288222,0.0007251946,0.0002614537,0.00005186972,0.000114565,0.000416125,0.04045219,0.0008063548,0.9142694,0.0077633,0.03508192],"study_design_scores_gemma":[0.00001121955,0.00001825418,0.0002164169,0.0001071503,0.00001281543,0.00005626331,0.00009672785,0.04670633,0.000382716,0.9191644,0.03320622,0.00002150862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.04234757,0.0608431,0.6031749,0.09081325,0.002802663,0.0002207699,0.0008048688,0.001526615,0.1974663],"genre_scores_gemma":[0.777959,0.0280338,0.1589007,0.007625663,0.001974977,0.0004577702,0.0006520873,0.0004937762,0.02390227],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.005520127,"threshold_uncertainty_score":0.01846671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3035080272125203,"score_gpt":0.6123925469580297,"score_spread":0.3088845197455094,"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."}}