{"id":"W4398781202","doi":"10.3390/cancers16111989","title":"Precision Oncology, Artificial Intelligence, and Novel Therapeutic Advancements in the Diagnosis, Prevention, and Treatment of Cancer: Highlights from the 59th Irish Association for Cancer Research (IACR) Annual Conference","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Higher Education Authority","keywords":"Pace; Medicine; Cancer; Irish; Precision medicine; Psychological intervention; Oncology; Internal medicine; Pathology","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":[0.02045188,0.001590822,0.001353685,0.003131854,0.001616491,0.009554822,0.001562391,0.006559462,0.008031182],"category_scores_gemma":[0.01146438,0.0005133536,0.001362126,0.001999562,0.005593146,0.005974553,0.005351225,0.01799652,0.002604318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00774147,"about_ca_system_score_gemma":0.009269375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006099371,"about_ca_topic_score_gemma":0.01655603,"domain_scores_codex":[0.9934028,0.002125261,0.0003525901,0.0004811073,0.002562623,0.001075674],"domain_scores_gemma":[0.9869058,0.004816645,0.0004309636,0.0003405006,0.003883402,0.003622658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001432865,0.00009231678,0.000259851,0.000863269,0.00004743232,0.0001437688,0.0002519028,0.0003058738,0.0004862371,0.02011048,0.8503868,0.1269088],"study_design_scores_gemma":[0.00002407095,0.00004937822,0.0004320243,0.0009425473,0.00001591777,0.0001304151,0.00024779,0.0001210315,0.0001503386,0.006976567,0.9908792,0.00003071714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.000536446,0.4710879,0.001467391,0.443265,0.06580415,0.00006448249,0.0001190363,0.00006596363,0.01758966],"genre_scores_gemma":[0.01165361,0.7022008,0.004539496,0.130052,0.1172635,0.0001553535,0.00023555,0.0001573333,0.03374232],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02045188,"threshold_uncertainty_score":0.1081612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08604667630004278,"score_gpt":0.4124899510023582,"score_spread":0.3264432747023155,"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."}}