{"id":"W4296886862","doi":"10.1177/117693510600200030","title":"Applications of Machine Learning in Cancer Prediction and Prognosis","year":2006,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":1099,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Genome Prairie; Genome Canada","keywords":"Machine learning; Artificial intelligence; Computer science; Artificial neural network; Probabilistic logic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001233206,0.00007225642,0.0001028027,0.0001311158,0.0000566414,0.00003327931,0.0001633762,0.00004539753,0.000006826502],"category_scores_gemma":[0.000004764096,0.00007191444,0.00001556728,0.000485945,0.00003920787,0.0005121018,0.00006904041,0.0001292164,0.000001219109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001439696,"about_ca_system_score_gemma":0.00007757059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001117983,"about_ca_topic_score_gemma":0.0004702451,"domain_scores_codex":[0.9992874,0.00001113471,0.0003456894,0.00008281726,0.0001510758,0.0001218917],"domain_scores_gemma":[0.9995552,0.00002471761,0.0001939731,0.0001334387,0.00006945142,0.00002317281],"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":[0.000007183922,0.00004373112,0.3120807,0.0003883774,0.00001257501,1.785487e-7,0.002482955,0.0386447,0.0002506099,0.003477519,0.0004937222,0.6421178],"study_design_scores_gemma":[0.0005552227,0.00007374609,0.04076139,0.0001256636,0.00001492552,0.000004567188,0.000118119,0.9054284,0.005898957,0.001226477,0.04561457,0.0001779489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07662637,0.002579055,0.9162378,0.0004443813,0.0002896399,0.0007034201,0.00004202408,0.0002220902,0.00285522],"genre_scores_gemma":[0.9878044,0.0007973709,0.01050345,0.00006518784,0.00007731935,0.0006392016,0.000005558303,0.000006487872,0.000101065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.911178,"threshold_uncertainty_score":0.2932586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082296431629606,"score_gpt":0.2522787782653981,"score_spread":0.2414558139491021,"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."}}